CRIS: CLIP-Driven Referring Image Segmentation.
Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, Tongliang Liu.
CVPR 2022. [PDF]
Blended Latent Diffusion.
Omri Avrahami, Ohad Fried, Dani Lischinski.
arxiv 2022. [PDF] [Project] [Github]
InstructPix2Pix: Learning to Follow Image Editing Instructions.
Tim Brooks, Aleksander Holynski, Alexei A. Efros.
arxiv 2022. [PDF] [Project]
DiffEdit: Diffusion-based semantic image editing with mask guidance.
Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, Michal Irani.
arxiv 2022. [PDF] [Project]
Diverse facial inpainting guided by exemplars.
Wanglong Lu, Hanli Zhao, Xianta Jiang, Xiaogang Jin, Min Wang, Jiankai Lyu, Kaijie Shi.
arxiv 2022. [PDF]
Multi-level Latent Space Structuring for Generative Control.
ORENKATZIR, VICKY PEREPELOOK, DANI LISCHINSKI, DANIEL COHEN-OR.
arxiv 2022. [PDF]
EqGAN : Improving GAN Equilibrium by Raising Spatial Awareness.
Jianyuan Wang, Ceyuan Yang, Yinghao Xu, Yujun Shen, Hongdong Li, Bolei Zhou.
ICML 2021. [PDF] [Project] [Github]
GANformer: Generative Adversarial Transformers.
Drew A. Hudson, C. Lawrence Zitnick.
ICML 2021. [PDF] [Github]
Projected GANs Converge Faster.
Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger.
NeurIPS 2021. [PDF] [Project] [Github]
ReStyle : A Residual-Based StyleGAN Encoder via Iterative Refinement.
Zongze Wu, Yotam Nitzan, Eli Shechtman, Dani Lischinski.
ICCV 2021. [PDF] [Project] [Github]
StyleAlign: Analysis and Applications of Aligned StyleGAN Models.
Zongze Wu, Yotam Nitzan, Eli Shechtman, Dani Lischinski.
ICML under review.
Explaining in Style: Training a GAN to explain a classifier in StyleSpace.
Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri.
ICCV 2021. [PDF] [Project] [Github]
Alias-Free GAN: Alias-Free Generative Adversarial Networks.
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, Timo Aila.
arxiv 2021. [PDF] [Project] [Github] [Rosinality]
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds.
Zekun Hao, Arun Mallya, Serge Belongie, Ming-Yu Liu.
ICCV 2021(Oral). [PDF] [Project] [Github]
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation.
Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or.
CVPR 2021. [PDF] [Project] [Github]
SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation.
Xuning Shao, Weidong Zhang.
ICCV 2021. [PDF] [Github]
You Only Need Adversarial Supervision for Semantic Image Synthesis.
Vadim Sushko, Edgar Schönfeld, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva.
ICLR 2021. [PDF] [Github]
A U-Net Based Discriminator for Generative Adversarial Networks.
Schonfeld, Edgar and Schiele, Bernt and Khoreva, Anna.
CVPR 2020. [PDF] [Github]
Swapping Autoencoder for Deep Image Manipulation.
Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang.
NeurIPS 2020. [PDF] [Project] [Github] [Rosinality]
Unsupervised image-to-image translation method via pre-trained StyleGAN2 network.
Jialu Huang, Jing Liao, Sam Kwong.
arxiv 2020. [PDF] [Github]
Improving Shape Deformation in Unsupervised Image-to-Image Translation.
Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin.
arxiv 2018. [PDF] [Github]
Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing.
Hyunsu Kim, Yunjey Choi, Junho Kim, Sungjoo Yoo, Youngjung Uh.
CVPR 2021. [PDF] [Github]
StyleNeRF: A Style-based 3D Aware Generator for High-resolution Image Synthesis.
Anonymous.
ICLR 2022. [PDF]
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis.
Schwarz, Katja and Liao, Yiyi and Niemeyer, Michael and Geiger, Andreas
NeurIPS 2020. [PDF] [Project] [Github]
Interactive Video Stylization Using Few-Shot Patch-Based Training.
ONDŘEJ TEXLER, DAVID FUTSCHIK, MICHAL KUČERA, ONDŘEJ JAMRIŠKA, and ŠÁRKA SOCHOROVÁ.
SIGGRAPH 2020. [PDF] [Project] [Github]
ArtCoder: An End-to-end Method for Generating Scanning-robust Stylized QR Codes.
Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Ji Wan, Mingliang Xu.
CVPR 2021. [PDF] [Github]
Q-Art Code: Generating Scanning-robust Art-style QR Codes by Deformable Convolution.
Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Ji Wan, Mingliang Xu, Tao Ren.
ACM International Conference on Multimedia 2021. [PDF]
Positional Normalization.
Boyi Li, Felix Wu, Kilian Q. Weinberger, Serge Belongie.
NeurIPS 2019(spotlight). [PDF] [Github]
StyleMix: Separating Content and Style for Enhanced Data Augmentation.
Minui Hong, Jinwoo Choi, Gunhee Kim.
CVPR 2021. [PDF] [Github]
Convolutional Hough Matching Networks.
Juhong Min, Minsu Cho.
CVPR 2021(oral). [PDF] [Project] [Github]
Patches Are All You Need?
Anonymous authors.
ICLR 2022. [PDF] [Github]
GAN Compression: Efficient Architectures for Interactive Conditional GANs.
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han.
CVPR 2020. [PDF] [Project] [Github]
[1] machine learning: https://github.com/rosinality/ml-papers
[2] gan-inversion: https://github.com/weihaox/awesome-gan-inversion
[3] image-to-image : https://github.com/lzhbrian/image-to-image-papers, https://github.com/weihaox/awesome-image-translation
[4] implementations of Generative Adversarial Networks : https://github.com/POSTECH-CVLab/PyTorch-StudioGAN
[5] neural rendering : https://github.com/weihaox/awesome-neural-rendering, https://github.com/yenchenlin/awesome-NeRF
[6] 3D human body : https://github.com/3DFaceBody/awesome-3dbody-papers
[7] Image-Colorization : https://github.com/MarkMoHR/Awesome-Image-Colorization
[1] neurips_2021: https://papers.labml.ai/papers/neurips_2021
[2] iclr_2022: https://papers.labml.ai/papers/iclr_2022