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https://github.com/DarrenPan/Awesome-ICCV2023-Low-Level-Vision

A Collection of Papers and Codes in ICCV2023/2021 about low level vision
https://github.com/DarrenPan/Awesome-ICCV2023-Low-Level-Vision

List: Awesome-ICCV2023-Low-Level-Vision

deblurring denoising image image-enhancement image-generation image-inpainting image-restoration low-level-vision super-resolution

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A Collection of Papers and Codes in ICCV2023/2021 about low level vision

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# Awesome-ICCV2023-Low-Level-Vision

A Collection of Papers and Codes in ICCV2023 related to Low-Level Vision



**[In Construction]** If you find some missing papers or typos, feel free to pull issues or requests.



## Related collections for low-level vision

- [Awesome-ICCV2021-Low-Level-Vision](https://github.com/DarrenPan/Awesome-ICCV2023-Low-Level-Vision/blob/main/ICCV2021-Low-Level-Vision.md)

- [Awesome-CVPR2023/2022-Low-Level-Vision](https://github.com/DarrenPan/Awesome-CVPR2023-Low-Level-Vision)

- [Awesome-NeurIPS2022/2021-Low-Level-Vision](https://github.com/DarrenPan/Awesome-NeurIPS2022-Low-Level-Vision)

- [Awesome-ECCV2022-Low-Level-Vision](https://github.com/DarrenPan/Awesome-ECCV2022-Low-Level-Vision)

- [Awesome-AAAI2022-Low-Level-Vision](https://github.com/DarrenPan/Awesome-AAAI2022-Low-Level-Vision)

- [Awesome-CVPR2021/2020-Low-Level-Vision](https://github.com/Kobaayyy/Awesome-CVPR2021-CVPR2020-Low-Level-Vision)

- [Awesome-ECCV2020-Low-Level-Vision](https://github.com/Kobaayyy/Awesome-ECCV2020-Low-Level-Vision)



## Overview



- [Image Restoration](#image-restoration)

  - [Video Restoration](#video-restoration)



- [Super Resolution](#super-resolution)

  - [Image Super Resolution](#image-super-resolution)

  - [Video Super Resolution](#video-super-resolution)

- [Image Rescaling](#image-rescaling)



- [Denoising](#denoising)

  - [Image Denoising](#image-denoising)



- [Deblurring](#deblurring)

  - [Image Deblurring](#image-deblurring)

  - [Video Deblurring](#video-deblurring)



- [Deraining](#deraining)



- [Dehazing](#dehazing)



- [Demosaicing](#demosaicing)



- [HDR Imaging / Multi-Exposure Image Fusion](#hdr-imaging--multi-exposure-image-fusion)



- [Frame Interpolation](#frame-interpolation)



- [Image Enhancement](#image-enhancement)

  - [Low-Light Image Enhancement](#low-light-image-enhancement)



- [Image Harmonization](#image-harmonizationcomposition)



- [Image Completion/Inpainting](#image-completioninpainting)



- [Image Stitching](#image-stitching)



- [Image Compression](#image-compression)



- [Image Quality Assessment](#image-quality-assessment)



- [Style Transfer](#style-transfer)



- [Image Editing](#image-editing)



- [Image Generation/Synthesis/ Image-to-Image Translation](#image-generationsynthesis--image-to-image-translation)

  - [Video Generation](#video-generation)



- [Others](#others)



# Image Restoration



**SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-time Performance on Mobile Device**

- Paper: https://arxiv.org/abs/2308.08137

- Code: https://github.com/sanechips-multimedia/syenet



**DiffIR: Efficient Diffusion Model for Image Restoration**

- Paper: https://arxiv.org/abs/2303.09472

- Code: https://github.com/Zj-BinXia/DiffIR

- Tags: Diffusion



**PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Deng_PIRNet_Privacy-Preserving_Image_Restoration_Network_via_Wavelet_Lifting_ICCV_2023_paper.html)

- Code: https://github.com/gclonghorn/PIRNet



**Focal Network for Image Restoration**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Cui_Focal_Network_for_Image_Restoration_ICCV_2023_paper.html)

- Code: https://github.com/c-yn/FocalNet



**Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration**

- Paper: https://arxiv.org/abs/2306.06513



**Under-Display Camera Image Restoration with Scattering Effect**

- Paper: https://arxiv.org/abs/2308.04163

- Code: https://github.com/NamecantbeNULL/SRUDC

- Tags: Under-Display Camera



**FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Liu_FSI_Frequency_and_Spatial_Interactive_Learning_for_Image_Restoration_in_ICCV_2023_paper.html)

- Tags: Under-Display Camera



**Multi-weather Image Restoration via Domain Translation**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Patil_Multi-weather_Image_Restoration_via_Domain_Translation_ICCV_2023_paper.html)

- Code: https://github.com/pwp1208/Domain_Translation_Multi-weather_Restoration

- Tags: Multi-weather



**Adverse Weather Removal with Codebook Priors**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Ye_Adverse_Weather_Removal_with_Codebook_Priors_ICCV_2023_paper.html)

- Tags: Adverse Weather Removal



**Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond**

- Paper: https://arxiv.org/abs/2307.08996

- Tags: Authentic Face Restoration, Diffusion



**Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery**

- Paper: https://arxiv.org/abs/2308.16460

- Code: https://github.com/YuyanZhou1/Improving-Lens-Flare-Removal

- Tags: Flare Removal 



**High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net**

- Paper: https://arxiv.org/abs/2308.14221

- Code: https://github.com/CXH-Research/DocShadow-SD7K

- Tags: Document Shadow Removal



**Boundary-Aware Divide and Conquer: A Diffusion-Based Solution for Unsupervised Shadow Removal**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Guo_Boundary-Aware_Divide_and_Conquer_A_Diffusion-Based_Solution_for_Unsupervised_Shadow_ICCV_2023_paper.html)

- Tags: Shadow Removal



**Leveraging Inpainting for Single-Image Shadow Removal**

- Paper: https://arxiv.org/abs/2302.05361

- Tags: Shadow Removal



**Fine-grained Visible Watermark Removal**

- Paper: https://openaccess.thecvf.com/content/ICCV2023/html/Niu_Fine-grained_Visible_Watermark_Removal_ICCV_2023_paper.html

- Tags: Watermark Removal



**Physics-Driven Turbulence Image Restoration with Stochastic Refinement**

- Paper: https://arxiv.org/abs/2307.10603

- Code: https://github.com/VITA-Group/PiRN

- Tags: Turbulence Image



**Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Shao_Building_Bridge_Across_the_Time_Disruption_and_Restoration_of_Murals_ICCV_2023_paper.html)

- Code: https://github.com/Shaocr/Building-Bridge-Across-the-Time-Disruption-and-Restoration-of-Murals-In-the-Wild

- Tags: Murals Restoration



**DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration**

- Paper: https://arxiv.org/abs/2303.06682

- Code: https://github.com/miaoyuchun/DDS2M

- Tags: Diffusion, Hyperspectral



**Fingerprinting Deep Image Restoration Models**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Quan_Fingerprinting_Deep_Image_Restoration_Models_ICCV_2023_paper.html)



**Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video Dataset**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Varghese_Self-supervised_Monocular_Underwater_Depth_Recovery_Image_Restoration_and_a_Real-sea_ICCV_2023_paper.html)

- Code: https://github.com/nishavarghese15/DRUVA



## Image Reconstruction



**Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction**

- Paper: https://arxiv.org/abs/2308.10820

- Code: https://github.com/MyuLi/PADUT



## Video Restoration



**Snow Removal in Video: A New Dataset and A Novel Method**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Chen_Snow_Removal_in_Video_A_New_Dataset_and_A_Novel_ICCV_2023_paper.html)

- Code: https://github.com/haoyuc/VideoDesnowing

- Tags: Desnowing



**Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation**

- Paper: https://arxiv.org/abs/2309.13700

- Code: https://github.com/scott-yjyang/ViWS-Net



**Fast Full-frame Video Stabilization with Iterative Optimization**

- Paper: https://arxiv.org/abs/2307.12774

- Code: https://github.com/zwyking/Fast-Stab

- Tags: Video Stabilization



**Minimum Latency Deep Online Video Stabilization**

- Paper: https://arxiv.org/abs/2212.02073

- Code: https://github.com/liuzhen03/NNDVS

- Tags: Video Stabilization



**Task Agnostic Restoration of Natural Video Dynamics**

- Paper: https://arxiv.org/abs/2206.03753

- Code: https://github.com/MKashifAli/TARONVD



[[Back-to-Overview](#overview)]



# Super Resolution

## Image Super Resolution



**On the Effectiveness of Spectral Discriminators for Perceptual Quality Improvement**

- Paper: https://arxiv.org/abs/2307.12027

- Code: https://github.com/Luciennnnnnn/DualFormer



**SRFormer: Permuted Self-Attention for Single Image Super-Resolution**

- Paper: https://arxiv.org/abs/2303.09735 

- Code: https://github.com/HVision-NKU/SRFormer



**DLGSANet: Lightweight Dynamic Local and Global Self-Attention Network for Image Super-Resolution**

- Paper: https://arxiv.org/abs/2301.02031

- Code: https://github.com/NeonLeexiang/DLGSANet



**Dual Aggregation Transformer for Image Super-Resolution**

- Paper: https://arxiv.org/abs/2308.03364

- Code: https://github.com/zhengchen1999/DAT



**MSRA-SR: Image Super-resolution Transformer with Multi-scale Shared Representation Acquisition**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Zhou_MSRA-SR_Image_Super-resolution_Transformer_with_Multi-scale_Shared_Representation_Acquisition_ICCV_2023_paper.html)



**Content-Aware Local GAN for Photo-Realistic Super-Resolution**

- Paper: https://openaccess.thecvf.com/content/ICCV2023/html/Park_Content-Aware_Local_GAN_for_Photo-Realistic_Super-Resolution_ICCV_2023_paper.html

- Code: https://github.com/jkpark0825/CAL

- Tags: GAN



**Boosting Single Image Super-Resolution via Partial Channel Shifting**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Zhang_Boosting_Single_Image_Super-Resolution_via_Partial_Channel_Shifting_ICCV_2023_paper.html)

- Code: https://github.com/OwXiaoM/_PCS



**Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution**

- Paper: https://arxiv.org/abs/2308.05022

- Code: https://github.com/AVC2-UESTC/CRAFT-SR



**Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution**

- Paper: https://arxiv.org/abs/2302.13800

- Code: https://github.com/sunny2109/SAFMN

- Tags: Efficient



**Lightweight Image Super-Resolution with Superpixel Token Interaction**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Zhang_Lightweight_Image_Super-Resolution_with_Superpixel_Token_Interaction_ICCV_2023_paper.html)

- Code: https://github.com/ArcticHare105/SPIN

- Tags: Lightweight



**Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution**

- Paper: https://arxiv.org/abs/2307.08544

- Code: https://github.com/liuguandu/RC-LUT

- Tags: Efficient



**Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution**

- Paper: https://arxiv.org/abs/2211.13654

- Code: https://github.com/Jiamian-Wang/Iterative-Soft-Shrinkage-SR

- Tags: Efficient

  

**MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces**

- Paper: https://arxiv.org/abs/2309.08113

- Code: https://github.com/yinzhicun/MetaF2N

- Tags: Blind



**Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Zhou_Learning_Correction_Filter_via_Degradation-Adaptive_Regression_for_Blind_Single_Image_ICCV_2023_paper.html)

- Code: https://github.com/edbca/DARSR

- Tags: Blind



**LMR: A Large-Scale Multi-Reference Dataset for Reference-Based Super-Resolution**

- Paper: https://arxiv.org/abs/2303.04970

- Tags: Reference-Based 



**Real-CE: A Benchmark for Chinese-English Scene Text Image Super-resolution**

- Paper: https://arxiv.org/abs/2308.03262

- Code: https://github.com/mjq11302010044/Real-CE

- Tags: Text SR



**Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution**

- Paper: https://arxiv.org/abs/2302.08058

- Code: https://github.com/ZhengyuLiang24/EPIT

- Tags: Light Field



**Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution**

- Paper: https://arxiv.org/abs/2303.08942

- Code: https://github.com/Zhaozixiang1228/GDSR-SSDNet

- Tags: Depth Map



**HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Wu_HSR-Diff_Hyperspectral_Image_Super-Resolution_via_Conditional_Diffusion_Models_ICCV_2023_paper.html)

- Tags: Hyperspectral, Diffusion



**ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution**

- Paper: https://arxiv.org/abs/2307.14010

- Code: https://github.com/Rexzhan/ESSAformer

- Tags: Hyperspectral



**Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Li_Rethinking_Multi-Contrast_MRI_Super-Resolution_Rectangle-Window_Cross-Attention_Transformer_and_Arbitrary-Scale_Upsampling_ICCV_2023_paper.html)

- Tags: MRI



**Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and Reconstruction**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Lei_Decomposition-Based_Variational_Network_for_Multi-Contrast_MRI_Super-Resolution_and_Reconstruction_ICCV_2023_paper.html)

- Code: https://github.com/lpcccc-cv/MC-VarNet

- Tags: MRI



**CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution**

- Paper: https://arxiv.org/abs/2303.16242

- Code: https://github.com/NarcissusEx/CuNeRF

- Tags: Medical, NeRF



## Burst Super Resolution



**Towards Real-World Burst Image Super-Resolution: Benchmark and Method**

- Paper: https://arxiv.org/abs/2309.04803

- Code: https://github.com/yjsunnn/FBANet

- Tag: Real-World



**Self-Supervised Burst Super-Resolution**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Bhat_Self-Supervised_Burst_Super-Resolution_ICCV_2023_paper.html)

- Tags: Self-Supervised



## Video Super Resolution



**Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution**

- Paper: https://arxiv.org/abs/2303.09826

- Code: https://github.com/researchmm/VQD-SR



**Multi-Frequency Representation Enhancement with Privilege Information for Video Super-Resolution**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Li_Multi-Frequency_Representation_Enhancement_with_Privilege_Information_for_Video_Super-Resolution_ICCV_2023_paper.html)



## Spatial-Temporal Video Super-Resolution



**MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution**

- Paper: https://arxiv.org/abs/2307.07988

- Code: https://github.com/sichun233746/MoTIF



[[Back-to-Overview](#overview)]



# Image Rescaling



**Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images**

- Paper: https://arxiv.org/abs/2211.10643



[[Back-to-Overview](#overview)]



# Denoising

## Image Denoising



**Random Sub-Samples Generation for Self-Supervised Real Image Denoising**

- Paper: https://arxiv.org/abs/2307.16825

- Code: https://github.com/p1y2z3/SDAP

- Tags: Self-Supervised



**Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising**

- Paper: https://arxiv.org/abs/2308.04682

- Tags: Unsupervised



**Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches**

- Paper: https://arxiv.org/abs/2308.06776

- Tags: Unsupervised



**Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network**

- Paper: https://arxiv.org/abs/2304.09507

- Code: https://github.com/jyicu/CBSN

- Tags: Self-supervised



**Multi-view Self-supervised Disentanglement for General Image Denoising**

- Paper: https://arxiv.org/abs/2309.05049

- Tags: Self-supervised



**Iterative Denoiser and Noise Estimator for Self-Supervised Image Denoising**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Zou_Iterative_Denoiser_and_Noise_Estimator_for_Self-Supervised_Image_Denoising_ICCV_2023_paper.html)

- Tags: Self-Supervised



**Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Wang_Noise2Info_Noisy_Image_to_Information_of_Noise_for_Self-Supervised_Image_ICCV_2023_paper.html)

- Tags: Self-Supervised



**The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior**

- Paper: https://arxiv.org/abs/2304.11409

- Code: https://github.com/YilinLiu97/FasterDIP-devil-in-upsampling



**Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising**

- Paper: https://arxiv.org/abs/2308.03448

- Code: https://github.com/Srameo/LED



**ExposureDiffusion: Learning to Expose for Low-light Image Enhancement**

- Paper: https://arxiv.org/abs/2307.07710

- Code: https://github.com/wyf0912/ExposureDiffusion



**Towards General Low-Light Raw Noise Synthesis and Modeling**

- Paper: https://arxiv.org/abs/2307.16508

- Code: https://github.com/fengzhang427/LRD

- Tags: Noise Modeling



**Hybrid Spectral Denoising Transformer with Guided Attention**

- Paper: https://arxiv.org/abs/2303.09040

- Code: https://github.com/Zeqiang-Lai/HSDT

- Tags: hyperspectral image denoising



[[Back-to-Overview](#overview)]



# Deblurring

## Image Deblurring



**Multiscale Structure Guided Diffusion for Image Deblurring**

- Paper: https://arxiv.org/abs/2212.01789

 

**Multi-Scale Residual Low-Pass Filter Network for Image Deblurring**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Dong_Multi-Scale_Residual_Low-Pass_Filter_Network_for_Image_Deblurring_ICCV_2023_paper.html)



**Single Image Defocus Deblurring via Implicit Neural Inverse Kernels**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Quan_Single_Image_Defocus_Deblurring_via_Implicit_Neural_Inverse_Kernels_ICCV_2023_paper.html)



**Single Image Deblurring with Row-dependent Blur Magnitude**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Ji_Single_Image_Deblurring_with_Row-dependent_Blur_Magnitude_ICCV_2023_paper.html)



**Non-Coaxial Event-Guided Motion Deblurring with Spatial Alignment**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Cho_Non-Coaxial_Event-Guided_Motion_Deblurring_with_Spatial_Alignment_ICCV_2023_paper.html)

- Tags: Event-Based



**Generalizing Event-Based Motion Deblurring in Real-World Scenarios**

- Paper: https://arxiv.org/abs/2308.05932

- Code: https://github.com/XiangZ-0/GEM

- Tags: Event-Based



## Video Deblurring



**Exploring Temporal Frequency Spectrum in Deep Video Deblurring**

- Paper：[ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Zhu_Exploring_Temporal_Frequency_Spectrum_in_Deep_Video_Deblurring_ICCV_2023_paper.html)



[[Back-to-Overview](#overview)]



# Deraining



**From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal**

- Paper: https://arxiv.org/abs/2308.03867

- Code: https://github.com/yunguo224/LHP-Rain



**Learning Rain Location Prior for Nighttime Deraining**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Zhang_Learning_Rain_Location_Prior_for_Nighttime_Deraining_ICCV_2023_paper.html)

- Code: https://github.com/zkawfanx/RLP



**Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks**

- Paper: https://arxiv.org/abs/2308.14153

- Code: https://github.com/Ephemeral182/UDR-S2Former_deraining



**Unsupervised Video Deraining with An Event Camera**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Wang_Unsupervised_Video_Deraining_with_An_Event_Camera_ICCV_2023_paper.html)



**Both Diverse and Realism Matter: Physical Attribute and Style Alignment for Rainy Image Generation**

 - Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Yu_Both_Diverse_and_Realism_Matter_Physical_Attribute_and_Style_Alignment_ICCV_2023_paper.html)



[[Back-to-Overview](#overview)]



# Dehazing



**MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing**

- Paper: https://arxiv.org/abs/2308.14036

- Code: https://github.com/FVL2020/ICCV-2023-MB-TaylorFormer



[[Back-to-Overview](#overview)]



# Demosaicing



**Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors**

- Paper: https://arxiv.org/abs/2307.10667



[[Back-to-Overview](#overview)]



# HDR Imaging / Multi-Exposure Image Fusion



**Alignment-free HDR Deghosting with Semantics Consistent Transformer**

- Paper: https://arxiv.org/abs/2305.18135

- Code: https://github.com/Zongwei97/SCTNet



**MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion**

- Paper: https://arxiv.org/abs/2309.11847

- Code: https://github.com/Hedlen/MEFLUT



**RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image**

- Paper: https://arxiv.org/abs/2309.02020

- Code: https://github.com/jackzou233/RawHDR



**Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction** 

- Paper: https://arxiv.org/abs/2309.03900



**LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction**

- Paper: https://arxiv.org/abs/2308.11116



**Joint Demosaicing and Deghosting of Time-Varying Exposures for Single-Shot HDR Imaging**

- Paper: https://vclab.kaist.ac.kr/iccv2023/iccv2023-single-shot-hdr-imaging.pdf

- Code: https://github.com/KAIST-VCLAB/singshot-hdr-demosaicing



**GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild**

- Paper: https://arxiv.org/abs/2211.12352



**Beyond the Pixel: a Photometrically Calibrated HDR Dataset for Luminance and Color Prediction**

- Paper: https://arxiv.org/abs/2304.12372

- Code: https://github.com/lvsn/beyondthepixel



[[Back-to-Overview](#overview)]



# Frame Interpolation



**Video Object Segmentation-aware Video Frame Interpolation**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Yoo_Video_Object_Segmentation-aware_Video_Frame_Interpolation_ICCV_2023_paper.html)

- Code: https://github.com/junsang7777/VOS-VFI



**Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Ji_Rethinking_Video_Frame_Interpolation_from_Shutter_Mode_Induced_Degradation_ICCV_2023_paper.html)



[[Back-to-Overview](#overview)]



# Image Enhancement



**Iterative Prompt Learning for Unsupervised Backlit Image Enhancement**

- Paper: https://arxiv.org/abs/2303.17569

- Code: https://github.com/ZhexinLiang/CLIP-LIT



## Low-Light Image Enhancement



**ExposureDiffusion: Learning to Expose for Low-light Image Enhancement**

- Paper: https://arxiv.org/abs/2307.07710

- Code: https://github.com/wyf0912/ExposureDiffusion

  

**Implicit Neural Representation for Cooperative Low-light Image Enhancement**

- Paper: https://arxiv.org/abs/2303.11722

- Code: https://github.com/Ysz2022/NeRCo



**Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network**

- Paper:  https://arxiv.org/abs/2308.08220



**Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model**

- Paper: https://arxiv.org/abs/2308.13164



**Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement**

- Paper: https://arxiv.org/abs/2303.06705

- Code: https://github.com/caiyuanhao1998/Retinexformer



**Low-Light Image Enhancement with Multi-Stage Residue Quantization and Brightness-Aware Attention**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Liu_Low-Light_Image_Enhancement_with_Multi-Stage_Residue_Quantization_and_Brightness-Aware_Attention_ICCV_2023_paper.html)



**Dancing in the Dark: A Benchmark towards General Low-light Video Enhancement**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Fu_Dancing_in_the_Dark_A_Benchmark_towards_General_Low-light_Video_ICCV_2023_paper.html)

- Code: https://github.com/ciki000/DID



**NIR-assisted Video Enhancement via Unpaired 24-hour Data**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Niu_NIR-assisted_Video_Enhancement_via_Unpaired_24-hour_Data_ICCV_2023_paper.html)

- Code: https://github.com/MyNiuuu/NVEU



**Coherent Event Guided Low-Light Video Enhancement**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Liang_Coherent_Event_Guided_Low-Light_Video_Enhancement_ICCV_2023_paper.html)

- Code: https://github.com/sherrycattt/EvLowLight



[[Back-to-Overview](#overview)]



# Image Harmonization/Composition



**Deep Image Harmonization with Learnable Augmentation**

- Paper: https://arxiv.org/abs/2308.00376

- Code: https://github.com/bcmi/SycoNet-Adaptive-Image-Harmonization



**Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation**

- Paper: https://arxiv.org/abs/2308.00356

- Code: https://github.com/bcmi/Image-Harmonization-Dataset-ccHarmony



**TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition**

- Paper: https://arxiv.org/abs/2307.12493

- Code: https://github.com/Shilin-LU/TF-ICON



[[Back-to-Overview](#overview)]



# Image Completion/Inpainting



**Diverse Inpainting and Editing with GAN Inversion**

- Paper: https://arxiv.org/abs/2307.15033



**Rethinking Fast Fourier Convolution in Image Inpainting**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Chu_Rethinking_Fast_Fourier_Convolution_in_Image_Inpainting_ICCV_2023_paper.html)



**Continuously Masked Transformer for Image Inpainting**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Ko_Continuously_Masked_Transformer_for_Image_Inpainting_ICCV_2023_paper.html)

- Code: https://github.com/keunsoo-ko/CMT



**MI-GAN: A Simple Baseline for Image Inpainting on Mobile Devices**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Sargsyan_MI-GAN_A_Simple_Baseline_for_Image_Inpainting_on_Mobile_Devices_ICCV_2023_paper.html)

- Code: https://github.com/Picsart-AI-Research/MI-GAN



**PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting**

- Paper: https://arxiv.org/abs/2304.06107

- Code: https://github.com/humansensinglab/PATMAT



## Video Inpainting



**ProPainter: Improving Propagation and Transformer for Video Inpainting**

- Paper: https://arxiv.org/abs/2309.03897

- Code: https://github.com/sczhou/ProPainter



**Semantic-Aware Dynamic Parameter for Video Inpainting Transformer**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Lee_Semantic-Aware_Dynamic_Parameter_for_Video_Inpainting_Transformer_ICCV_2023_paper.html)



**CIRI: Curricular Inactivation for Residue-aware One-shot Video Inpainting**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Zheng_CIRI_Curricular_Inactivation_for_Residue-aware_One-shot_Video_Inpainting_ICCV_2023_paper.html)

- Code: https://github.com/Arise-zwy/CIRI



[[Back-to-Overview](#overview)]



# Image Stitching



**Parallax-Tolerant Unsupervised Deep Image Stitching**

- Paper: https://arxiv.org/abs/2302.08207

- Code: https://github.com/nie-lang/UDIS2



[[Back-to-Overview](#overview)]



# Image Compression



**RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionary**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Li_RFD-ECNet_Extreme_Underwater_Image_Compression_with_Reference_to_Feature_Dictionary_ICCV_2023_paper.html)

- Code: https://github.com/lilala0/RFD-ECNet



**COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability**

- Paper: https://arxiv.org/abs/2309.07926

- Code: https://github.com/ImJongminPark/COMPASS



**Computationally-Efficient Neural Image Compression with Shallow Decoders**

 - Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Yang_Computationally-Efficient_Neural_Image_Compression_with_Shallow_Decoders_ICCV_2023_paper.html)

 - Code: https://github.com/mandt-lab/shallow-ntc



**Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Shen_Dec-Adapter_Exploring_Efficient_Decoder-Side_Adapter_for_Bridging_Screen_Content_and_ICCV_2023_paper.html)



**Semantically Structured Image Compression via Irregular Group-Based Decoupling**

- Paper: https://arxiv.org/abs/2305.02586



**TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception**

- Paper: https://arxiv.org/abs/2306.05085

- Code: https://github.com/NYCU-MAPL/TransTIC



**AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform Routing**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Tao_AdaNIC_Towards_Practical_Neural_Image_Compression_via_Dynamic_Transform_Routing_ICCV_2023_paper.html)



**COOL-CHIC: Coordinate-based Low Complexity Hierarchical Image Codec**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Ladune_COOL-CHIC_Coordinate-based_Low_Complexity_Hierarchical_Image_Codec_ICCV_2023_paper.html)

- Code: https://github.com/Orange-OpenSource/Cool-Chic



## Video Compression



**Scene Matters: Model-based Deep Video Compression**

- Paper: https://arxiv.org/abs/2303.04557



[[Back-to-Overview](#overview)]



# Image Quality Assessment



**Thinking Image Color Aesthetics Assessment: Models, Datasets and Benchmarks**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/He_Thinking_Image_Color_Aesthetics_Assessment_Models_Datasets_and_Benchmarks_ICCV_2023_paper.html)

- Code: https://github.com/woshidandan/Image-Color-Aesthetics-Assessment/tree/main



**Test Time Adaptation for Blind Image Quality Assessment**

- Paper: https://arxiv.org/abs/2307.14735



**Troubleshooting Ethnic Quality Bias with Curriculum Domain Adaptation for Face Image Quality Assessment**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Ou_Troubleshooting_Ethnic_Quality_Bias_with_Curriculum_Domain_Adaptation_for_Face_ICCV_2023_paper.html)

- Code: https://github.com/oufuzhao/EQBM



**SQAD: Automatic Smartphone Camera Quality Assessment and Benchmarking**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Fang_SQAD_Automatic_Smartphone_Camera_Quality_Assessment_and_Benchmarking_ICCV_2023_paper.html)

- Code: https://github.com/aiff22/SQAD



**Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives**

- Paper https://arxiv.org/abs/2211.04894

- Code: https://github.com/VQAssessment/DOVER



[[Back-to-Overview](#overview)]



# Style Transfer



**AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks**

- Paper: https://arxiv.org/abs/2307.09724

- Code: https://github.com/Kibeom-Hong/AesPA-Net



**Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers**

- Paper: https://arxiv.org/abs/2304.11335

- Code: https://github.com/NevSNev/UniST



**All-to-key Attention for Arbitrary Style Transfer**

- Paper: https://arxiv.org/abs/2212.04105

- Code: https://github.com/LearningHx/StyA2K



**StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models**

- Paper: https://arxiv.org/abs/2308.07863



**StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model**

- Paper: https://arxiv.org/abs/2303.09268

- Code: https://github.com/zipengxuc/StylerDALLE



**Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer**

- Paper: https://arxiv.org/abs/2303.08622

- Code(unofficial): https://github.com/ouhenio/text-guided-diffusion-style-transfer



**HairNeRF: Geometry-Aware Image Synthesis for Hairstyle Transfer**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Chang_HairNeRF_Geometry-Aware_Image_Synthesis_for_Hairstyle_Transfer_ICCV_2023_paper.html)



[[Back-to-Overview](#overview)]



# Image Editing



**Adaptive Nonlinear Latent Transformation for Conditional Face Editing**

- Paper: https://arxiv.org/abs/2307.07790

- Code: https://github.com/Hzzone/AdaTrans



**Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing**

- Paper: https://arxiv.org/abs/2304.02051

- Code: https://github.com/aimagelab/multimodal-garment-designer 



**MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing**

- Paper: https://arxiv.org/abs/2304.08465

- Code: https://github.com/TencentARC/MasaCtrl



**Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation**

- Paper: https://arxiv.org/abs/2307.08448

- Code: https://github.com/AndysonYs/Selective-Diffusion-Distillation



**HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Wei_HairCLIPv2_Unifying_Hair_Editing_via_Proxy_Feature_Blending_ICCV_2023_paper.html)

- Code: https://github.com/wty-ustc/HairCLIPv2



**StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces**

- Paper: https://arxiv.org/abs/2303.06146

- Code: https://github.com/williamyang1991/StyleGANEX



**Diverse Inpainting and Editing with GAN Inversion**

- Paper: https://arxiv.org/abs/2307.15033



**Effective Real Image Editing with Accelerated Iterative Diffusion Inversion**

- Paper: https://arxiv.org/abs/2309.04907



**Conceptual and Hierarchical Latent Space Decomposition for Face Editing**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Ozkan_Conceptual_and_Hierarchical_Latent_Space_Decomposition_for_Face_Editing_ICCV_2023_paper.html)



**Editing Implicit Assumptions in Text-to-Image Diffusion Models**

- Paper: https://arxiv.org/abs/2303.08084

- Code: https://github.com/bahjat-kawar/time-diffusion



**Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models**

- Paper: https://arxiv.org/abs/2305.04441



**A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Wu_A_Latent_Space_of_Stochastic_Diffusion_Models_for_Zero-Shot_Image_ICCV_2023_paper.html)

- Code: https://github.com/ChenWu98/cycle-diffusion



**Out-of-domain GAN inversion via Invertibility Decomposition for Photo-Realistic Human Face Manipulation**

- Paper: https://arxiv.org/abs/2212.09262



## Video Editing



**RIGID: Recurrent GAN Inversion and Editing of Real Face Videos**

- Paper: https://arxiv.org/abs/2308.06097

- Code: https://github.com/cnnlstm/RIGID



**Pix2Video: Video Editing using Image Diffusion**

- Paper: https://arxiv.org/abs/2303.12688

- Code: https://github.com/duyguceylan/pix2video



**FateZero: Fusing Attentions for Zero-shot Text-based Video Editing**

- Paper: https://arxiv.org/abs/2303.09535

- Code: https://github.com/ChenyangQiQi/FateZero



**StableVideo: Text-driven Consistency-aware Diffusion Video Editing**

- Paper: https://arxiv.org/abs/2308.09592

- Code: https://github.com/rese1f/StableVideo



**VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs**

- Paper: https://arxiv.org/abs/2304.06020

- Code: https://github.com/MoayedHajiAli/VidStyleODE-official



[[Back-to-Overview](#overview)]



# Image Generation/Synthesis / Image-to-Image Translation

## Text-to-Image / Text Guided / Multi-Modal



**Adding Conditional Control to Text-to-Image Diffusion Models**

- Paper: https://arxiv.org/abs/2302.05543

- Code: https://github.com/lllyasviel/ControlNet



**MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models**

- Paper: https://arxiv.org/abs/2303.13126

- Code: https://github.com/MagicFusion/MagicFusion.github.io



**ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation**

- Paper: https://arxiv.org/abs/2302.13848

- Code: https://github.com/csyxwei/ELITE



**Unleashing Text-to-Image Diffusion Models for Visual Perception**

- Paper: https://arxiv.org/abs/2303.02153

- Code: https://github.com/wl-zhao/VPD



**Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models**

- Paper: https://arxiv.org/abs/2306.05357

- Code: https://github.com/nanlliu/Unsupervised-Compositional-Concepts-Discovery



**BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion**

- Paper: https://arxiv.org/abs/2307.10816

- Code: https://github.com/Sierkinhane/BoxDiff



**Ablating Concepts in Text-to-Image Diffusion Models**

- Paper: https://arxiv.org/abs/2303.13516

- Code: https://github.com/nupurkmr9/concept-ablation



**Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis**

- Paper: https://arxiv.org/abs/2308.08157

- Code: https://github.com/pmh9960/GCDP



**HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation**

- Paper: https://arxiv.org/abs/2304.04269

- Code: https://github.com/IDEA-Research/HumanSD



**Story Visualization by Online Text Augmentation with Context Memory**

- Paper: https://arxiv.org/abs/2308.07575



**DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment**

- Paper: https://arxiv.org/abs/2308.11206



**Dense Text-to-Image Generation with Attention Modulation**

- Paper: https://arxiv.org/abs/2308.12964

- Code: https://github.com/naver-ai/DenseDiffusion``



**ITI-GEN: Inclusive Text-to-Image Generation**

- Paper: https://arxiv.org/abs/2309.05569

- Project: https://czhang0528.github.io/iti-gen



**Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis**

- Paper: https://arxiv.org/abs/2211.02408



**Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models**

- Paper: https://arxiv.org/abs/2304.01515



**Human Preference Score: Better Aligning Text-to-Image Models with Human Preference**

- Paper: https://arxiv.org/abs/2303.14420

- Code: https://github.com/tgxs002/align_sd



**Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis**

- Paper: https://arxiv.org/abs/2308.08157

- Code: https://github.com/pmh9960/GCDP/



**Zero-shot spatial layout conditioning for text-to-image diffusion models**

- Paper: https://arxiv.org/abs/2306.13754



**A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Agarwal_A-STAR_Test-time_Attention_Segregation_and_Retention_for_Text-to-image_Synthesis_ICCV_2023_paper.html)



**Evaluating Data Attribution for Text-to-Image Models**

- Paper: https://arxiv.org/abs/2306.09345

- Code: https://github.com/PeterWang512/GenDataAttribution



**Expressive Text-to-Image Generation with Rich Text**

- Paper: https://arxiv.org/abs/2304.06720

- Code: https://github.com/SongweiGe/rich-text-to-image



**Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis**

- Paper: https://arxiv.org/abs/2304.03869

- Code: https://github.com/UCSB-NLP-Chang/Diffusion-SpaceTime-Attn



**Localizing Object-level Shape Variations with Text-to-Image Diffusion Models**

- Paper: https://arxiv.org/abs/2303.11306

- Code: https://github.com/orpatashnik/local-prompt-mixing



**DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Cho_DALL-Eval_Probing_the_Reasoning_Skills_and_Social_Biases_of_Text-to-Image_ICCV_2023_paper.html)



**HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models**

- Paper: https://arxiv.org/abs/2304.05390

- Code: https://github.com/eslambakr/HRS_benchmark



**Anti-DreamBooth: Protecting Users from Personalized Text-to-image Synthesis**

- Paper: https://arxiv.org/abs/2303.15433

- Code: https://github.com/VinAIResearch/Anti-DreamBooth



**Discriminative Class Tokens for Text-to-Image Diffusion Models**

- Paper: https://arxiv.org/abs/2303.17155

- Code: https://github.com/idansc/discriminative_class_tokens



**GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation**

- Paper: https://arxiv.org/abs/2303.10056

- Code: https://github.com/salesforce/GlueGen



## Image-to-Image / Image Guided



**Reinforced Disentanglement for Face Swapping without Skip Connection**

- Paper: https://arxiv.org/abs/2307.07928



**BlendFace: Re-designing Identity Encoders for Face-Swapping**

- Paper: https://arxiv.org/abs/2307.10854

- Code: https://github.com/mapooon/BlendFace



**General Image-to-Image Translation with One-Shot Image Guidance**

- Paper: https://arxiv.org/abs/2307.14352

- Code: https://github.com/CrystalNeuro/visual-concept-translator



**GaFET: Learning Geometry-aware Facial Expression Translation from In-The-Wild Images**

- Paper: https://arxiv.org/abs/2308.03413



**Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation**

- Paper: https://arxiv.org/abs/2308.12968

- Code: https://github.com/Yuxinn-J/Scenimefy



**UGC: Unified GAN Compression for Efficient Image-to-Image Translation**

- Paper: https://arxiv.org/abs/2309.09310



**Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis**

- Paper: https://arxiv.org/abs/2310.00224



**Controllable Person Image Synthesis with Pose-Constrained Latent Diffusion**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Han_Controllable_Person_Image_Synthesis_with_Pose-Constrained_Latent_Diffusion_ICCV_2023_paper.html)

- Code: https://github.com/BrandonHanx/PoCoLD



## Others for image generation



**Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration**

- Paper: https://arxiv.org/abs/2307.09621



**Masked Diffusion Transformer is a Strong Image Synthesizer**

- Paper: https://arxiv.org/abs/2303.14389

- Code: https://github.com/sail-sg/MDT



**Q-Diffusion: Quantizing Diffusion Models**

- Paper: https://arxiv.org/abs/2302.04304

- Code: https://github.com/Xiuyu-Li/q-diffusion



**The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation**

- Paper: https://arxiv.org/abs/2211.12347

- Code: https://github.com/lingxiao-li/HAE



**LFS-GAN: Lifelong Few-Shot Image Generation**

- Paper: https://arxiv.org/abs/2308.11917

- Code: https://github.com/JJuOn/LFS-GAN



**FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model**

- Paper: https://arxiv.org/abs/2303.09833

- Code: https://github.com/vvictoryuki/FreeDoM



**Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations**

- Paper: https://arxiv.org/abs/2308.10554



**Smoothness Similarity Regularization for Few-Shot GAN Adaptation**

- Paper: https://arxiv.org/abs/2308.09717



**UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation**

- Paper: https://arxiv.org/abs/2309.14335

- Code: https://github.com/UnitedHuman/UnitedHuman



**Ray Conditioning: Trading Photo-consistency for Photo-realism in Multi-view Image Generation**

- Paper: https://arxiv.org/abs/2304.13681

- Code: https://github.com/echen01/ray-conditioning



**Personalized Image Generation for Color Vision Deficiency Population**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Jiang_Personalized_Image_Generation_for_Color_Vision_Deficiency_Population_ICCV_2023_paper.html)



**EGC: Image Generation and Classification via a Diffusion Energy-Based Model**

- Paper: https://arxiv.org/abs/2304.02012

- Code: https://github.com/guoqiushan/egc



**Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Cao_Efficient-VQGAN_Towards_High-Resolution_Image_Generation_with_Efficient_Vision_Transformers_ICCV_2023_paper.html)



**Neural Characteristic Function Learning for Conditional Image Generation**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Li_Neural_Characteristic_Function_Learning_for_Conditional_Image_Generation_ICCV_2023_paper.html)

- Code: https://github.com/zhangjialu126/ccf_gan



**LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis**

- Paper: https://arxiv.org/abs/2301.04604

- Code: https://github.com/zhujiapeng/linkgan



**Perceptual Artifacts Localization for Image Synthesis Tasks**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Zhang_Perceptual_Artifacts_Localization_for_Image_Synthesis_Tasks_ICCV_2023_paper.html)

- Code: https://github.com/owenzlz/PAL4VST



**SVDiff: Compact Parameter Space for Diffusion Fine-Tuning**

- Paper: https://arxiv.org/abs/2303.11305

- Code: https://github.com/mkshing/svdiff-pytorch



**Erasing Concepts from Diffusion Models**

- Paper: https://arxiv.org/abs/2303.07345

- Code: https://github.com/rohitgandikota/erasing



**A Complete Recipe for Diffusion Generative Models**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Pandey_A_Complete_Recipe_for_Diffusion_Generative_Models_ICCV_2023_paper.html)

- Code: https://github.com/mandt-lab/PSLD



**Efficient Diffusion Training via Min-SNR Weighting Strategy**

- Paper: https://arxiv.org/abs/2303.09556

- Code: https://github.com/TiankaiHang/Min-SNR-Diffusion-Training



**Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption**

- Paper: https://arxiv.org/abs/2309.03729

- Code: https://github.com/sjtuplayer/few-shot-diffusion 



**AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration**

- Paper: https://arxiv.org/abs/2309.10438

- Code: https://github.com/lilijiangg/AutoDiffusion



## Video Generation



**Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer**

- Paper: https://arxiv.org/abs/2307.07754

- Code: https://github.com/rocketappslab/bdmm



**MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions**

- Paper: https://arxiv.org/abs/2307.10008

- Code: https://github.com/DreamtaleCore/MODA



**Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators**

- Paper: https://arxiv.org/abs/2303.13439

- Code: https://github.com/Picsart-AI-Research/Text2Video-Zero



**StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation**

- Paper: https://arxiv.org/abs/2308.16909

- Code: https://github.com/johannwyh/StyleInV



**The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion**

- Paper: https://arxiv.org/abs/2309.04509

- Project: https://ku-vai.github.io/TPoS/



**SIDGAN: High-Resolution Dubbed Video Generation via Shift-Invariant Learning**

- Paper: [ICCV Open Access Version](https://openaccess.thecvf.com/content/ICCV2023/html/Muaz_SIDGAN_High-Resolution_Dubbed_Video_Generation_via_Shift-Invariant_Learning_ICCV_2023_paper.html)



**Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation**

- Paper: https://arxiv.org/abs/2212.11565

- Code: https://github.com/showlab/Tune-A-Video



**Text2Performer: Text-Driven Human Video Generation**

- Paper: https://arxiv.org/abs/2304.08483

- Code: https://github.com/yumingj/Text2Performer



**StyleLipSync: Style-based Personalized Lip-sync Video Generation**

- Paper: https://arxiv.org/abs/2305.00521

- Project: https://stylelipsync.github.io/ 



**Mixed Neural Voxels for Fast Multi-view Video Synthesis**

- Paper: https://arxiv.org/abs/2212.00190

- Code: https://github.com/fengres/mixvoxels



**WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction**

- Paper: https://arxiv.org/abs/2211.14308

- Code: https://github.com/16lemoing/waldo



**DreamPose: Fashion Video Synthesis with Stable Diffusion**

- Paper: https://arxiv.org/abs/2304.06025

- Code: https://github.com/johannakarras/DreamPose



**Structure and Content-Guided Video Synthesis with Diffusion Models**

- Paper: https://arxiv.org/abs/2302.03011

- Project: https://research.runwayml.com/gen1



[[Back-to-Overview](#overview)]



# Others [[back](#catalogue)]



**DDColor: Towards Photo-Realistic and Semantic-Aware Image Colorization via Dual Decoders**

- Paper: https://arxiv.org/abs/2212.11613

- Code: https://github.com/piddnad/DDColor

- Tags: Colorization



**DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion**

- Paper: https://arxiv.org/abs/2303.06840

- Code: https://github.com/Zhaozixiang1228/MMIF-DDFM

- Tags: Image Fusion



**Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer**

- Paper: https://arxiv.org/abs/2212.03434

- Code: https://github.com/ryeocthiv/CQFormer



**Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging**

- Paper: https://arxiv.org/abs/2306.11316

- Code: https://github.com/zsm1211/CTM-SCI

- Tags: Snapshot Compressive Imaging



**Deep Optics for Video Snapshot Compressive Imaging**

- Paper:

- Code: https://github.com/pwangcs/DeepOpticsSCI

- Tags: Snapshot Compressive Imaging



**SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation Learning**

- Paper: https://arxiv.org/abs/2308.09040

- Code: https://github.com/fh2019ustc/SimFIR

- Tags: Fisheye Image Rectification



**Single Image Reflection Separation via Component Synergy**

- Paper: https://arxiv.org/abs/2308.10027

- Code: https://github.com/mingcv/DSRNet

- Tag: Image Reflection Separation



**Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-Spectral Image Fusion**

- Paper: https://arxiv.org/abs/2308.16083

- Tags: pan-sharpening



## Talking Head Generation



**Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generation**

- Paper: https://arxiv.org/abs/2307.09906

- Code: https://github.com/harlanhong/ICCV2023-MCNET



**Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation**

- Paper: https://arxiv.org/abs/2309.04946

- Code: https://github.com/yuangan/EAT_code



## Handwriting/Font Generation



**Few shot font generation via transferring similarity guided global style and quantization local style**

- Paper: https://arxiv.org/abs/2309.00827

- Code: https://github.com/awei669/VQ-Font