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3D-FM GAN: Towards 3D-Controllable Face Manipulation


Aug 24, 2022
Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, S. Y. Kung

* Accepted to ECCV2022. Project webpage: https://lychenyoko.github.io/3D-FM-GAN-Webpage/ 

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Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing


Jun 16, 2022
Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh

* CVPR 2022. Github: https://github.com/adobe-research/sam_inversion Website: https://www.cs.cmu.edu/~SAMInversion 

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ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions


May 24, 2022
Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis

* SIGGRAPH 2022 - Journal Track 

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BlobGAN: Spatially Disentangled Scene Representations


May 05, 2022
Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros

* Project webpage available at http://www.dave.ml/blobgan 

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Any-resolution Training for High-resolution Image Synthesis


Apr 14, 2022
Lucy Chai, Michael Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang


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Ensembling Off-the-shelf Models for GAN Training


Jan 18, 2022
Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu

* GitHub: https://github.com/nupurkmr9/vision-aided-gan Project webpage: https://www.cs.cmu.edu/~vision-aided-gan/ 

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GAN-Supervised Dense Visual Alignment


Dec 09, 2021
William Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei Efros, Eli Shechtman

* Code available at https://www.github.com/wpeebles/gangealing . Project page and videos available at https://www.wpeebles.com/gangealing 

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Contrastive Feature Loss for Image Prediction


Nov 12, 2021
Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang

* Appeared in Advances in Image Manipulation Workshop at ICCV 2021. GitHub: https://github.com/alexandonian/contrastive-feature-loss 

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Editing Conditional Radiance Fields


Jun 04, 2021
Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell

* Code: https://github.com/stevliu/editnerf Website: http://editnerf.csail.mit.edu/, v2 updated figure 8 and included additional details 

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