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https://github.com/DarrenPan/Awesome-NeurIPS2023-Low-Level-Vision

A Collection of Papers and Codes in NeurIPS2022/2021 related to Low-Level Vision
https://github.com/DarrenPan/Awesome-NeurIPS2023-Low-Level-Vision

List: Awesome-NeurIPS2023-Low-Level-Vision

denoising image-generation image-restoration low-level-vision neurips-2021 neurips-2022 super-resolution

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A Collection of Papers and Codes in NeurIPS2022/2021 related to Low-Level Vision

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# Awesome-NeurIPS2023-Low-Level-Vision
A Collection of Papers and Codes in NeurIPS2023 related to Low-Level Vision

## Related collections for low-level vision
- [Awesome-NeurIPS2021-Low-Level-Vision](https://github.com/DarrenPan/Awesome-NeurIPS2023-Low-Level-Vision/blob/main/NeurIPS2021-Low-Level-Vision.md)
- [Awesome-NeurIPS2022-Low-Level-Vision](https://github.com/DarrenPan/Awesome-NeurIPS2023-Low-Level-Vision/blob/main/NeurIPS2022-Low-Level-Vision.md)
- [Awesome-ICCV2023/2021-Low-Level-Vision](https://github.com/DarrenPan/Awesome-ICCV2023-Low-Level-Vision)
- [Awesome-CVPR2023/2022-Low-Level-Vision](https://github.com/DarrenPan/Awesome-CVPR2023-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)

- [Super Resolution](#super-resolution)

- [Denoising](#denoising)

- [Deblurring](#deblurring)

- [Deraining](#deraining)

- [Image Enhancement](#image-enhancement)

- [Image Matting](#image-matting)

- [Image Compression](#image-compression)

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

- [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

**Training Your Image Restoration Network Better with Random Weight Network as Optimization Function**
- Paper: https://openreview.net/forum?id=uv3ge0goPa

**PromptIR: Prompting for All-in-One Blind Image Restoration**
- Paper: https://arxiv.org/abs/2306.13090
- Code: https://github.com/va1shn9v/PromptIR
- Tags: All-in-One, Prompt

**PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance**
- Paper: https://arxiv.org/abs/2309.10810
- Code: https://github.com/pq-yang/PGDiff
- Tags: Diffusion

**PromptRestorer: A Prompting Image Restoration Method with Degradation Perception**
- Paper: https://openreview.net/forum?id=nIaNgaQvsV
- Tags: Prompt

**Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems**
- Paper: https://arxiv.org/abs/2306.03466

**A Unified Conditional Framework for Diffusion-based Image Restoration**
- Paper: https://arxiv.org/abs/2305.20049
- Code: https://github.com/zhangyi-3/UCDIR

**Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration**
- Paper: https://arxiv.org/abs/2306.02342
- Tags: Real

## Video Restoration

**Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements**
- Paper: https://arxiv.org/abs/2312.07835

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


# Super Resolution

**QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution**
- Paper: https://openreview.net/forum?id=3gamyee9Yh
- Code: https://github.com/htqin/QuantSR
- Tags: Efficient

**Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction**
- Paper: https://arxiv.org/abs/2310.19011
- Code: https://github.com/dengzeshuai/srtta

**AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution**
- Paper: https://openreview.net/forum?id=s8QsYV1VZ2
- Tag: Blind

**ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting**
- Paper: https://arxiv.org/abs/2307.12348
- Code: https://github.com/zsyOAOA/ResShift
- Tags: Diffusion

**Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution**
- Paper: https://openreview.net/forum?id=f7wFwPJwBe

**Real-World Image Super-Resolution as Multi-Task Learning**
- Paper: https://openreview.net/forum?id=8SCz56sUGP
- Tags: Real

**Spatio-Angular Convolutions for Super-resolution in Diffusion MRI**
- Paper: https://arxiv.org/abs/2306.00854

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


# Denoising

**Normalization-Equivariant Neural Networks with Application to Image Denoising**
- Paper: https://arxiv.org/abs/2306.05037
- Code: https://github.com/sherbret/normalization_equivariant_nn/

**PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising**
- Paper: https://arxiv.org/abs/2310.10088
- Code: https://github.com/HyemiEsme/PUCA

**Unsupervised Image Denoising with Score Function**
- Paper: https://arxiv.org/abs/2304.08384

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


# Deblurring

**Hierarchical Integration Diffusion Model for Realistic Image Deblurring**
- Paper: https://arxiv.org/abs/2305.12966
- Code: https://github.com/zhengchen1999/HI-Diff

**Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams**
- Paper: https://openreview.net/forum?id=cAyLnMxiTl

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


# Deraining

**Networks are Slacking Off: Understanding Generalization Problem in Image Deraining**
- Paper: https://arxiv.org/abs/2305.15134

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


# Image Enhancement

**Transition-constant Normalization for Image Enhancement**
- Paper: https://openreview.net/forum?id=GEWzHeHpLr

**Global Structure-Aware Diffusion Process for Low-Light Image Enhancement**
- Paper: https://arxiv.org/abs/2310.17577
- Code: https://github.com/jinnh/GSAD

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


# Image Matting

**BiMatting: Efficient Video Matting via Binarization**
- Paper: https://openreview.net/forum?id=YbYQ0JEQ80
- Code: https://github.com/htqin/BiMatting

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


# Image Compression

**Lossy Image Compression with Conditional Diffusion Models**
- Paper: https://arxiv.org/abs/2209.06950
- Code: https://github.com/buggyyang/CDC_compression

**Idempotent Learned Image Compression with Right-Inverse**
- Paper: https://openreview.net/forum?id=35dOU92OJM

**Towards Efficient Image Compression Without Autoregressive Models**
- Paper: https://openreview.net/forum?id=1ihGy9vAIg

**Neural Image Compression: Generalization, Robustness, and Spectral Biases**
- Paper: https://arxiv.org/abs/2307.08657
- Code: https://github.com/klieberman/ood_nic

## Video Compression

**On the Choice of Perception Loss Function for Learned Video Compression**
- Paper: https://arxiv.org/abs/2305.19301

**HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation**
- Paper: https://arxiv.org/abs/2306.09818
- Code: https://github.com/hmkx/HiNeRV

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


# Image Quality Assessment

**Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks**
- Paper: https://arxiv.org/abs/2309.13609
- Code: https://github.com/GZHU-DVL/AttackVQA

**Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment**
- Paper: https://arxiv.org/abs/2305.10983
- Code: https://github.com/TianheWu/Assessor360

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


# Image Editing

## Video Editing

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


# Image Generation/Synthesis / Image-to-Image Translation
## Text-to-Image / Text Guided / Multi-Modal

## Image-to-Image / Image Guided

## Others for image generation


## Video Generation

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


## Others

## Talking Head Generation

## Virtual Try-on

## Handwriting/Font Generation

## Layout Generation