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Understanding the Role of Individual Units in a Deep Neural Network

Sep 12, 2020
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Agata Lapedriza, Bolei Zhou, Antonio Torralba

* Proceedings of the National Academy of Sciences 2020. Code at https://github.com/davidbau/dissect/ and website at https://dissect.csail.mit.edu/ 

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The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement

Aug 24, 2020
William Peebles, John Peebles, Jun-Yan Zhu, Alexei Efros, Antonio Torralba

* ECCV 2020 (Spotlight). Code available at https://github.com/wpeebles/hessian_penalty . Project page and videos available at https://www.wpeebles.com/hessian-penalty 

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Contrastive Learning for Unpaired Image-to-Image Translation

Aug 20, 2020
Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu

* ECCV 2020. Please visit https://taesungp.github.io/ContrastiveUnpairedTranslation/ for introduction videos and more. v3 contains typo fixes and citation update 

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Rewriting a Deep Generative Model

Jul 30, 2020
David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba

* ECCV 2020 (oral). Code at https://github.com/davidbau/rewriting. For videos and demos see https://rewriting.csail.mit.edu/ 

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Swapping Autoencoder for Deep Image Manipulation

Jul 01, 2020
Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang


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Differentiable Augmentation for Data-Efficient GAN Training

Jun 18, 2020
Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han


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Diverse Image Generation via Self-Conditioned GANs

Jun 18, 2020
Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba

* CVPR 2020. Code: https://github.com/stevliu/self-conditioned-gan. Webpage: http://selfcondgan.csail.mit.edu/ 

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Semantic Photo Manipulation with a Generative Image Prior

May 15, 2020
David Bau, Hendrik Strobelt, William Peebles, Jonas, Bolei Zhou, Jun-Yan Zhu, Antonio Torralba

* Bau, David, et al. "Semantic photo manipulation with a generative image prior." ACM Transactions on Graphics (TOG) 38.4 (2019) 
* SIGGRAPH 2019 

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Transforming and Projecting Images into Class-conditional Generative Networks

May 04, 2020
Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann


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State of the Art on Neural Rendering

Apr 08, 2020
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason Saragih, Matthias Nießner, Rohit Pandey, Sean Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B Goldman, Michael Zollhöfer

* Eurographics 2020 survey paper 

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GAN Compression: Efficient Architectures for Interactive Conditional GANs

Mar 19, 2020
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han


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Seeing What a GAN Cannot Generate

Oct 24, 2019
David Bau, Jun-Yan Zhu, Jonas Wulff, William Peebles, Hendrik Strobelt, Bolei Zhou, Antonio Torralba

* ICCV 2019 oral; http://ganseeing.csail.mit.edu/ 

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Connecting Touch and Vision via Cross-Modal Prediction

Jun 14, 2019
Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba

* Accepted to CVPR 2019. Project Page: http://visgel.csail.mit.edu/ 

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Semantic Image Synthesis with Spatially-Adaptive Normalization

Mar 18, 2019
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu

* CVPR 2019 
* Accepted as a CVPR 2019 oral paper 

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Visualizing and Understanding Generative Adversarial Networks (Extended Abstract)

Jan 29, 2019
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba

* In AAAI-19 workshop on Network Interpretability for Deep Learning arXiv admin note: substantial text overlap with arXiv:1811.10597 

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GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

Dec 08, 2018
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba

* 18 pages, 19 figures 

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Visual Object Networks: Image Generation with Disentangled 3D Representation

Dec 06, 2018
Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, William T. Freeman

* NeurIPS 2018. Code: https://github.com/junyanz/VON Website: http://von.csail.mit.edu/ 

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Dataset Distillation

Nov 27, 2018
Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, Alexei A. Efros


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Toward Multimodal Image-to-Image Translation

Oct 24, 2018
Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman

* NIPS 2017 Final paper. v4 updated acknowledgment. Website: https://junyanz.github.io/BicycleGAN/ 

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3D-Aware Scene Manipulation via Inverse Graphics

Oct 11, 2018
Shunyu Yao, Tzu Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, William T. Freeman, Joshua B. Tenenbaum

* NIPS 2018 

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Propagation Networks for Model-Based Control Under Partial Observation

Sep 28, 2018
Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B. Tenenbaum, Antonio Torralba, Russ Tedrake


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Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Aug 30, 2018
Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros

* An extended version of our ICCV 2017 paper, v5 (1) adds the link to CycleGAN PyTorch code and (2) fixes typos and formatting issues. 

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Video-to-Video Synthesis

Aug 20, 2018
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro

* Code, models, and more results are available at https://github.com/NVIDIA/vid2vid 

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High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Aug 20, 2018
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro

* v2: CVPR camera ready, adding more results for edge-to-photo examples 

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Generating Adversarial Examples with Adversarial Networks

Jan 15, 2018
Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song


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Spatially Transformed Adversarial Examples

Jan 09, 2018
Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song


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CyCADA: Cycle-Consistent Adversarial Domain Adaptation

Dec 29, 2017
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell


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Image-to-Image Translation with Conditional Adversarial Networks

Nov 22, 2017
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros

* CVPR 2017 
* Website: https://phillipi.github.io/pix2pix/ 

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