Jun-Yan Zhu

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 146

Top Venues

Publications

Or Patashnik, Rinon Gal, Daniel Cohen-Or, Jun-Yan Zhu, Fernando De la Torre
Consolidating Attention Features for Multi-view Image Editing. CoRR (2024)
Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu
Customizing Text-to-Image Diffusion with Camera Viewpoint Control. CoRR (2024)
Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park
Distilling Diffusion Models into Conditional GANs. CoRR (2024)
Peter Schaldenbrand, Gaurav Parmar, Jun-Yan Zhu, James McCann, Jean Oh
CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting. CoRR (2024)
Peter Schaldenbrand, Gaurav Parmar, Jun-Yan Zhu, James McCann, Jean Oh
CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting. ICRA (2024)
Maxwell Jones, Sheng-Yu Wang, Nupur Kumari, David Bau, Jun-Yan Zhu
Customizing Text-to-Image Models with a Single Image Pair. CoRR (2024)
Kangle Deng, Timothy Omernick, Alexander Weiss, Deva Ramanan, Jun-Yan Zhu, Tinghui Zhou, Maneesh Agrawala
FlashTex: Fast Relightable Mesh Texturing with LightControlNet. CoRR (2024)
Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images. CoRR (2024)
Songwei Ge, Aniruddha Mahapatra, Gaurav Parmar, Jun-Yan Zhu, Jia-Bin Huang
On the Content Bias in Fr\'echet Video Distance. CoRR (2024)
Gaurav Parmar, Taesung Park, Srinivasa Narasimhan, Jun-Yan Zhu
One-Step Image Translation with Text-to-Image Models. CoRR (2024)
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
Multi-Concept Customization of Text-to-Image Diffusion. CVPR (2023)
Chenlin Meng, Jiaming Song, Shuang Li, Jun-Yan Zhu, Stefano Ermon, Tsung-Yi Lin, Chen-Hsuan Lin, Karsten Kreis
SIGGRAPH 2023 Course on Diffusion Models. SIGGRAPH Courses (2023)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Generalizing Dataset Distillation via Deep Generative Prior. CoRR (2023)
Daohan Lu, Sheng-Yu Wang, Nupur Kumari, Rohan Agarwal, Mia Tang, David Bau, Jun-Yan Zhu
Content-based Search for Deep Generative Models. SIGGRAPH Asia (2023)
Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park
Scaling up GANs for Text-to-Image Synthesis. CVPR (2023)
Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang
Evaluating Data Attribution for Text-to-Image Models. ICCV (2023)
Aniruddha Mahapatra, Aliaksandr Siarohin, Hsin-Ying Lee, Sergey Tulyakov, Jun-Yan Zhu
Text-Guided Synthesis of Eulerian Cinemagraphs. ACM Trans. Graph. 42 (6) (2023)
Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman
Domain Expansion of Image Generators. CVPR (2023)
Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang
Evaluating Data Attribution for Text-to-Image Models. CoRR (2023)
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
Zero-shot Image-to-Image Translation. CoRR (2023)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Generalizing Dataset Distillation via Deep Generative Prior. CVPR (2023)
Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman
Domain Expansion of Image Generators. CoRR (2023)
Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan
Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis. CoRR (2023)
Ruihan Gao, Wenzhen Yuan, Jun-Yan Zhu
Controllable Visual-Tactile Synthesis. CoRR (2023)
Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park
Scaling up GANs for Text-to-Image Synthesis. CoRR (2023)
Yunji Kim, Jiyoung Lee, Jin-Hwa Kim, Jung-Woo Ha, Jun-Yan Zhu
Dense Text-to-Image Generation with Attention Modulation. ICCV (2023)
Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Hyunsu Kim, Gayoung Lee, Yunjey Choi, Jin-Hwa Kim, Jun-Yan Zhu
3D-aware Blending with Generative NeRFs. CoRR (2023)
Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu
Ablating Concepts in Text-to-Image Diffusion Models. ICCV (2023)
Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Benita Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Li Fei-Fei, Jiajun Wu, Stefano Ermon, Percy Liang
Holistic Evaluation of Text-To-Image Models. CoRR (2023)
Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Fei-Fei Li, Jiajun Wu, Stefano Ermon, Percy Liang
Holistic Evaluation of Text-to-Image Models. NeurIPS (2023)
Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu
Ablating Concepts in Text-to-Image Diffusion Models. CoRR (2023)
Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang
Expressive Text-to-Image Generation with Rich Text. CoRR (2023)
Jun-Yan Zhu, Han-Lu He, Xiao-Chun Jiang, Hai-Wei Bao, Fen Chen
Multimodal ultrasound features of breast cancers: correlation with molecular subtypes. BMC Medical Imaging 23 (1) (2023)
Ruihan Gao, Wenzhen Yuan, Jun-Yan Zhu
Controllable Visual-Tactile Synthesis. ICCV (2023)
Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang
Expressive Text-to-Image Generation with Rich Text. ICCV (2023)
Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu
3D-aware Conditional Image Synthesis. CVPR (2023)
Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu
3D-aware Conditional Image Synthesis. CoRR (2023)
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
Zero-shot Image-to-Image Translation. SIGGRAPH (Conference Paper Track) (2023)
Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan
Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis. ICCV (2023)
Aniruddha Mahapatra, Aliaksandr Siarohin, Hsin-Ying Lee, Sergey Tulyakov, Jun-Yan Zhu
Synthesizing Artistic Cinemagraphs from Text. CoRR (2023)
Yunji Kim, Jiyoung Lee, Jin-Hwa Kim, Jung-Woo Ha, Jun-Yan Zhu
Dense Text-to-Image Generation with Attention Modulation. CoRR (2023)
Hyunsu Kim, Gayoung Lee, Yunjey Choi, Jin-Hwa Kim, Jun-Yan Zhu
3D-aware Blending with Generative NeRFs. ICCV (2023)
Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. CVPR (2022)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Dataset Distillation by Matching Training Trajectories. CoRR (2022)
Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
Ensembling Off-the-shelf Models for GAN Training. CVPR (2022)
Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models. NeurIPS (2022)
Gaurav Parmar, Richard Zhang, Jun-Yan Zhu
On Aliased Resizing and Surprising Subtleties in GAN Evaluation. CVPR (2022)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation. CVPR Workshops (2022)
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
GAN Compression: Efficient Architectures for Interactive Conditional GANs. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan
Depth-supervised NeRF: Fewer Views and Faster Training for Free. CVPR (2022)
Sheng-Yu Wang, David Bau, Jun-Yan Zhu
Rewriting geometric rules of a GAN. ACM Trans. Graph. 41 (4) (2022)
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations. ICLR (2022)
William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman
GAN-Supervised Dense Visual Alignment. CVPR (2022)
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
Multi-Concept Customization of Text-to-Image Diffusion. CoRR (2022)
Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. CoRR (2022)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Dataset Distillation by Matching Training Trajectories. CVPR (2022)
George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
Dataset Distillation by Matching Training Trajectories. CVPR Workshops (2022)
Daohan Lu, Sheng-Yu Wang, Nupur Kumari, Rohan Agarwal, David Bau, Jun-Yan Zhu
Content-Based Search for Deep Generative Models. CoRR (2022)
Sheng-Yu Wang, David Bau, Jun-Yan Zhu
Rewriting Geometric Rules of a GAN. CoRR (2022)
Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models. CoRR (2022)
Gaurav Parmar, Richard Zhang, Jun-Yan Zhu
On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation. CoRR (2021)
Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang
Contrastive Feature Loss for Image Prediction. ICCVW (2021)
Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu
Anycost GANs for Interactive Image Synthesis and Editing. CVPR (2021)
Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu
Anycost GANs for Interactive Image Synthesis and Editing. CoRR (2021)
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Zexiang Xu, Tomas Simon, Matthias Nießner, Edgar Tretschk, Lingjie Liu, Ben Mildenhall, Pratul P. Srinivasan, Rohit Pandey, Sergio Orts-Escolano, Sean Ryan Fanello, Michelle Guo, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Daniel B. Goldman, Michael Zollhöfer
Advances in neural rendering. SIGGRAPH Courses (2021)
Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang
Ensembling With Deep Generative Views. CVPR (2021)
Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell
Editing Conditional Radiance Fields. CoRR (2021)
Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan
Depth-supervised NeRF: Fewer Views and Faster Training for Free. CoRR (2021)
Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang
Ensembling with Deep Generative Views. CoRR (2021)
Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
Ensembling Off-the-shelf Models for GAN Training. CoRR (2021)
William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman
GAN-Supervised Dense Visual Alignment. CoRR (2021)
Sheng-Yu Wang, David Bau, Jun-Yan Zhu
Sketch Your Own GAN. CoRR (2021)
Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang
Contrastive Feature Loss for Image Prediction. CoRR (2021)
Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon
SDEdit: Image Synthesis and Editing with Stochastic Differential Equations. CoRR (2021)
Sheng-Yu Wang, David Bau, Jun-Yan Zhu
Sketch Your Own GAN. ICCV (2021)
Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell
Editing Conditional Radiance Fields. ICCV (2021)
Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang
Swapping Autoencoder for Deep Image Manipulation. CoRR (2020)
Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba
Diverse Image Generation via Self-Conditioned GANs. CVPR (2020)
Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han
Differentiable Augmentation for Data-Efficient GAN Training. CoRR (2020)
Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba
Diverse Image Generation via Self-Conditioned GANs. CoRR (2020)
David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba
Rewriting a Deep Generative Model. ECCV (1) (2020)
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Àgata Lapedriza, Bolei Zhou, Antonio Torralba
Understanding the role of individual units in a deep neural network. Proc. Natl. Acad. Sci. USA 117 (48) (2020)
Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu
Contrastive Learning for Unpaired Image-to-Image Translation. CoRR (2020)
William S. Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, Antonio Torralba
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement. CoRR (2020)
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason M. Saragih, Matthias Nießner, Rohit Pandey, Sean Ryan Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer
State of the Art on Neural Rendering. Comput. Graph. Forum 39 (2) (2020)
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
GAN Compression: Efficient Architectures for Interactive Conditional GANs. CoRR (2020)
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
GAN Compression: Efficient Architectures for Interactive Conditional GANs. CVPR (2020)
Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang
Swapping Autoencoder for Deep Image Manipulation. NeurIPS (2020)
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Àgata Lapedriza, Bolei Zhou, Antonio Torralba
Understanding the Role of Individual Units in a Deep Neural Network. CoRR (2020)
Jun-Yan Zhu, Hongsheng Li, Eli Shechtman, Ming-Yu Liu, Jan Kautz, Antonio Torralba
Guest Editorial: Generative Adversarial Networks for Computer Vision. Int. J. Comput. Vis. 128 (10) (2020)
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason M. Saragih, Matthias Nießner, Rohit Pandey, Sean Ryan Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer
State of the Art on Neural Rendering. CoRR (2020)
David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba
Rewriting a Deep Generative Model. CoRR (2020)
Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han
Differentiable Augmentation for Data-Efficient GAN Training. NeurIPS (2020)
Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann
Transforming and Projecting Images into Class-Conditional Generative Networks. ECCV (2) (2020)
William S. Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, Antonio Torralba
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement. ECCV (6) (2020)
Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu
Contrastive Learning for Unpaired Image-to-Image Translation. ECCV (9) (2020)
Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann
Transforming and Projecting Images into Class-conditional Generative Networks. CoRR (2020)
David Bau, Hendrik Strobelt, William S. Peebles, Jonas Wulff, Bolei Zhou, Jun-Yan Zhu, Antonio Torralba
Semantic Photo Manipulation with a Generative Image Prior. CoRR (2020)
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba
Visualizing and Understanding GANs. DGS@ICLR (2019)

Jun-Yan Zhu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jun-Yan Zhu