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https://github.com/FeiiYin/awesome-generation

A collection of resources on generation.
https://github.com/FeiiYin/awesome-generation

List: awesome-generation

Last synced: 16 days ago
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A collection of resources on generation.

Host: GitHub
URL: https://github.com/FeiiYin/awesome-generation
Owner: FeiiYin
License: mit
Created: 2022-05-17T01:45:48.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2022-10-09T08:41:57.000Z (about 2 years ago)
Last Synced: 2024-10-29T15:44:19.451Z (about 2 months ago)
Size: 76.2 KB
Stars: 13
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

ultimate-awesome - awesome-generation - A collection of resources on generation. (Other Lists / Monkey C Lists)

README

        # 
`awesome-generation`

A collection of resources on generation. Maintained by [IIGroup](https://sites.google.com/view/iigroup-thu/home?authuser=0).

Table of Contents


- [GAN Inversion and Editing](#gan-inversion-and-editing)

- [3D-GAN](#3d-gan)

- [NeRF editing](#nerf-editing)

- [Style Transfer](#style-transfer)

- [Talking-Head Video Generation](#talking-head-video-generation)

- [Image Synthesis](#image-synthesis)

- [UV Space](#uv-space)

- [Denoising Diffusion](#denosing-diffusion)



## Image Synthesis

**StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets.** 


*Axel Sauer, Katja Schwarz, Andreas Geiger.*


SIGGRAPH 2022. [[PDF](https://arxiv.org/abs/2202.00273)]

## GAN Inversion and Editing

**Expanding the Latent Space of StyleGAN for Real Face Editing.**


*Yin Yu, Ghasedi Kamran, Wu HsiangTao, Yang Jiaolong, Tong Xi, Fu Yun.*


Abstract: F Space Inversion.

ArXiv 2022. [[PDF](https://arxiv.org/abs/2204.12530)]

**Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing**


*Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh*


Abstract: Invertibility and Multi-F Space Inversion.

CVPR 2022. [[PDF](https://openaccess.thecvf.com/content/CVPR2022/papers/Parmar_Spatially-Adaptive_Multilayer_Selection_for_GAN_Inversion_and_Editing_CVPR_2022_paper.pdf)]

**HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing.**


*Yuval Alaluf, Omer Tov, Ron Mokady, Rinon Gal, Amit H. Bermano.*


CVPR 2022. [[PDF](https://arxiv.org/abs/2111.15666)]

**Overparameterization Improves StyleGAN Inversion.**


*Yohan Poirier-Ginter, Alexandre Lessard, Ryan Smith, Jean-François Lalonde.*


CVPR WorkShop 2022. [[PDF](https://arxiv.org/abs/2205.06304)]

**Towards High-Fidelity Face Self-occlusion Recovery via Multi-view Residual-based GAN Inversion.**


AAAI 2022. [[PDF](https://aaai-2022.virtualchair.net/poster_aaai2208)]

**WAGI: Wavelet-based GAN Inversion for Preserving High-frequency Image Details.**


Submitted to ICLR 2023. [[PDF](https://openreview.net/pdf?id=ejQVau3Z-QQ)]

## 3D-GAN

**Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation.**


*Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool.*


CVPR 2022. [[PDF](https://arxiv.org/abs/2202.13162)]

**IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-aware Portrait Synthesis.**


Submitted to SIGGRAPH-Asia. [[PDF](https://arxiv.org/abs/2205.15517)]

**Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis.**


ECCV 2022. [[PDF](https://arxiv.org/abs/2207.10257)]

**Generative Multiplane Images: Making a 2D GAN 3D-Aware.**


ECCV 2022. [[PDF](https://arxiv.org/abs/2207.10642)]

## 3D-GAN Inversion

**Monocular 3D Object Reconstruction with GAN Inversion.**


ECCV 2022. [[PDF](https://arxiv.org/abs/2207.10061)]

**NARRATE: A Normal Assisted Free-View Portrait Stylizer.**


Submitted to SIGGRAPH Asia 2022. [[PDF](https://arxiv.org/abs/2207.00974)]

## Few-shot 3D Reconstruction

**Geco-Nerf: Neural Radiance Fields with Geometric Consistency for Few-shot Novel View Synthesis.**


Submitted to ICLR 2023. [[PDF](https://openreview.net/pdf?id=WoByU5W5te0)]

**SEGNERF: 3D PART SEGMENTATION WITH NEURAL RADIANCE FIELDS**


Submitted to ICLR 2023. [[PDF](https://openreview.net/pdf?id=D9WJEsALpI1)]

## NeRF Editing

**Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields.**


*MMlab & VGG*


Submitted to NIPS 2022. [[PDF](https://arxiv.org/abs/2206.08361)]

## Style Transfer

**Quality Metric Guided Portrait Line Drawing Generation from Unpaired Training Data.**


*Ran Yi, Yong-Jin Liu, Yu-Kun Lai, Paul L. Rosin.*


TPAMI 2022. [[PDF](https://arxiv.org/abs/2202.03678)]

**Cross-Domain Style Mixing for Face Cartoonization.**


Layer Swap and Style Mixing

Arxiv 2022. [[PDF](https://arxiv.org/abs/2205.12450)]

## Talking-Head Video Generation

**Dynamic Neural Textures: Generating Talking-Face Videos with Continuously Controllable Expressions.**


*Zipeng Ye, Zhiyao Sun, Yu-Hui Wen, Yanan Sun, Tian Lv, Ran Yi, Yong-Jin Liu.*


SIGGRAPH 2022. [[PDF](https://arxiv.org/abs/2204.06180)]

**One-Shot Face Reenactment on Megapixels.**


Submitted to ECCV 2022. [[PDF](https://arxiv.org/abs/2205.13368)]

**Video2StyleGAN: Disentangling Local and Global Variations in a Video**


*Rameen Abdal, Peihao Zhu, Niloy J. Mitra, Peter Wonka. KAUST*


Submitted to SIGGRAPH-Asia 2022. [[PDF](https://arxiv.org/abs/2205.13996)]

**Dual-Generator Face Reenactment**


*Gee-Sern, Hsu Chun-Hung, Tsai Hung-Yi Wu. National Taiwan University of Science and Technology*


CVPR 2022. [[PDF](https://openaccess.thecvf.com/content/CVPR2022/papers/Hsu_Dual-Generator_Face_Reenactment_CVPR_2022_paper.pdf)]

**Structure-Aware Motion Transfer with Deformable Anchor Model**


*Jiale Tao, Biao Wang, Borun Xu, Tiezheng Ge, Yuning Jiang, Wen Li, Lixin Duan*


CVPR 2022. [[PDF](https://arxiv.org/abs/2204.05018)]

**Implicit Warping for Animation with Image Sets**


NIPs 2022. [[PDF](https://arxiv.org/pdf/2210.01794.pdf)]

## Vector Quantisation - Token-based Generative Models

**Neural Discrete Representation Learning (VQVAE)**


*Patrick Esser, Robin Rombach, Björn Ommer*


NIPS 2017. [[PDF](https://arxiv.org/abs/1711.00937)]

**Taming Transformers for High-Resolution Image Synthesis (VQGAN)**


*Aaron van den Oord, Oriol Vinyals, Koray Kavukcuoglu*


CVPR 2021 oral. [[PDF](https://arxiv.org/abs/2012.09841)]

**Vector-quantized Image Modeling with Improved VQGAN (ViT-VQGAN)**


*Jiahui Yu, Xin Li, Jing Yu Koh, Han Zhang, Ruoming Pang, James Qin, Alexander Ku, Yuanzhong Xu, Jason Baldridge, Yonghui Wu*


ICLR 2022 spotlight. [[PDF](https://arxiv.org/abs/2110.04627)]

**MaskGIT: Masked Generative Image Transformer**


*Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman*


CVPR 2022. [[PDF](https://arxiv.org/abs/2202.04200)]

## UV Space

**UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition**


CVPR 2018. [[PDF](https://openaccess.thecvf.com/content_cvpr_2018/papers/Deng_UV-GAN_Adversarial_Facial_CVPR_2018_paper.pdf)]

**A 3D GAN for Improved Large-pose Facial Recognition**


CVPR 2021. [[PDF](https://openaccess.thecvf.com/content/CVPR2021/papers/Marriott_A_3D_GAN_for_Improved_Large-Pose_Facial_Recognition_CVPR_2021_paper.pdf)]

**StyleUV: Diverse and High-fidelity UV Map Generative Model**


Arxiv 2020. [[PDF](https://arxiv.org/abs/2011.12893)]

**AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis**


NVIDIA

CVPR 2022. [[PDF](https://nv-tlabs.github.io/AUV-NET/assets/auvnet-paper.pdf)]

## Denosing Diffusion

**Denoising Diffusion Probabilistic Models**


*Jonathan Ho, Ajay Jain, Pieter Abbeel.*


NeurIPS 2020. [[PDF](https://proceedings.neurips.cc/paper/2020/file/4c5bcfec8584af0d967f1ab10179ca4b-Paper.pdf)]

**Improved Denoising Diffusion Probabilistic Models**


*Alex Nichol, Prafulla Dhariwal.*


PMLR 2021.[[PDF](http://proceedings.mlr.press/v139/nichol21a/nichol21a.pdf)]