Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

 CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Jun-Yan Zhu
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/ 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
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/ 
  Access Paper or Ask Questions
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


  Access Paper or Ask Questions
Differentiable Augmentation for Data-Efficient GAN Training

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


  Access Paper or Ask Questions
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/ 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
Transforming and Projecting Images into Class-conditional Generative Networks

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


  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
GAN Compression: Efficient Architectures for Interactive Conditional GANs

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


  Access Paper or Ask Questions
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/ 
  Access Paper or Ask Questions
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/ 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
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/ 
  Access Paper or Ask Questions
Dataset Distillation

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


  Access Paper or Ask Questions
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/ 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
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


  Access Paper or Ask Questions
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. 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
Generating Adversarial Examples with Adversarial Networks

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


  Access Paper or Ask Questions
Spatially Transformed Adversarial Examples

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


  Access Paper or Ask Questions
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


  Access Paper or Ask Questions
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/ 
  Access Paper or Ask Questions