Jun-Yan Zhu - RankMe

187 papers A* 59Journal 108Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tuning-free Visual Effect Transfer across Videos. CoRR Maxwell Jones, Rameen Abdal, Or Patashnik, Ruslan Salakhutdinov, Sergey Tulyakov, Jun-Yan Zhu, Kuan-Chieh Jackson Wang
2025	A*	`conf`	CReLeRI: Explainable, Concept-centric, Representation, Learning, Reasoning, and Interaction Video Analysis System. ACM Multimedia Michael Francis Perez, Yichi Yang, Yuheng Zha, Enze Ma, Danish Nisar Ahmed Tamboli, Haodi Ma, Reza Shahriari, Vyom Pathak, Dzmitry Kasinets, Rohith Venkatakrishnan, Daisy Zhe Wang, Jaime Ruiz, Eric D. Ragan, Zhiting Hu, Eric P. Xing, Jun-Yan Zhu
2025	J	`jnl`	Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization. CoRR Kangle Deng, Hsueh-Ti Derek Liu, Yiheng Zhu, Xiaoxia Sun, Chong Shang, Kiran Bhat, Deva Ramanan, Jun-Yan Zhu, Maneesh Agrawala, Tinghui Zhou
2025	J	`jnl`	Expressive Image Generation and Editing with Rich Text. Int. J. Comput. Vis. Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang
2025	J	`jnl`	Fast Data Attribution for Text-to-Image Models. CoRR Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu
2025	J	`jnl`	Generating Multi-Image Synthetic Data for Text-to-Image Customization. CoRR Nupur Kumari, Xi Yin, Jun-Yan Zhu, Ishan Misra, Samaneh Azadi
2025	J	`jnl`	Generating Physically Stable and Buildable LEGO Designs from Text. CoRR Ava Pun, Kangle Deng, Ruixuan Liu, Deva Ramanan, Changliu Liu, Jun-Yan Zhu
2025	A*	`conf`	Generative Photomontage. CVPR Sean J. Liu, Nupur Kumari, Ariel Shamir, Jun-Yan Zhu
2025	J	`jnl`	Identifying Prompted Artist Names from Generated Images. CoRR Grace Su, Sheng-Yu Wang, Aaron Hertzmann, Eli Shechtman, Jun-Yan Zhu, Richard Zhang
2025	A*	`conf`	Input-Aware Sparse Attention for Real-Time Co-Speech Video Generation. SIGGRAPH Asia Beijia Lu, Ziyi Chen, Jing Xiao, Jun-Yan Zhu
2025	J	`jnl`	Input-Aware Sparse Attention for Real-Time Co-Speech Video Generation. CoRR Beijia Lu, Ziyi Chen, Jing Xiao, Jun-Yan Zhu
2025	J	`jnl`	Learning an Image Editing Model without Image Editing Pairs. CoRR Nupur Kumari, Sheng-Yu Wang, Nanxuan Zhao, Yotam Nitzan, Yuheng Li, Krishna Kumar Singh, Richard Zhang, Eli Shechtman, Jun-Yan Zhu, Xun Huang
2025	J	`jnl`	MotionStream: Real-Time Video Generation with Interactive Motion Controls. CoRR Joonghyuk Shin, Zhengqi Li, Richard Zhang, Jun-Yan Zhu, Jaesik Park, Eli Schechtman, Xun Huang
2025	A*	`conf`	Multi-subject Open-set Personalization in Video Generation. CVPR Tsai-Shien Chen, Aliaksandr Siarohin, Willi Menapace, Yuwei Fang, Kwot Sin Lee, Ivan Skorokhodov, Kfir Aberman, Jun-Yan Zhu, Ming-Hsuan Yang, Sergey Tulyakov
2025	J	`jnl`	Multi-subject Open-set Personalization in Video Generation. CoRR Tsai-Shien Chen, Aliaksandr Siarohin, Willi Menapace, Yuwei Fang, Kwot Sin Lee, Ivan Skorokhodov, Kfir Aberman, Jun-Yan Zhu, Ming-Hsuan Yang, Sergey Tulyakov
2025	A*	`conf`	Object-level Visual Prompts for Compositional Image Generation. SIGGRAPH Asia Gaurav Parmar, Or Patashnik, Kuan-Chieh Wang, Daniil Ostashev, Srinivasa G. Narasimhan, Jun-Yan Zhu, Daniel Cohen-Or, Kfir Aberman
2025	J	`jnl`	Object-level Visual Prompts for Compositional Image Generation. CoRR Gaurav Parmar, Or Patashnik, Kuan-Chieh Wang, Daniil Ostashev, Srinivasa Narasimhan, Jun-Yan Zhu, Daniel Cohen-Or, Kfir Aberman
2025	J	`jnl`	Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization. CoRR Tsai-Shien Chen, Aliaksandr Siarohin, Guocheng Gordon Qian, Kuan-Chieh Jackson Wang, Egor Nemchinov, Moayed Haji-Ali, Riza Alp Güler, Willi Menapace, Ivan Skorokhodov, Anil Kag, Jun-Yan Zhu, Sergey Tulyakov
2025	J	`jnl`	PAT3D: Physics-Augmented Text-to-3D Scene Generation. CoRR Guying Lin, Kemeng Huang, Michael Liu, Ruihan Gao, Hanke Chen, Lyuhao Chen, Beijia Lu, Taku Komura, Yuan Liu, Jun-Yan Zhu, Minchen Li
2025	J	`jnl`	Prompt-to-Product: Generative Assembly via Bimanual Manipulation. CoRR Ruixuan Liu, Philip Huang, Ava Pun, Kangle Deng, Shobhit Aggarwal, Kevin Tang, Michelle Liu, Deva Ramanan, Jun-Yan Zhu, Jiaoyang Li, Changliu Liu
2025	A*	`conf`	SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models. ICLR Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han
2025	J	`jnl`	Scaling Group Inference for Diverse and High-Quality Generation. CoRR Gaurav Parmar, Or Patashnik, Daniil Ostashev, Kuan-Chieh Wang, Kfir Aberman, Srinivasa Narasimhan, Jun-Yan Zhu
2024	—	`conf`	Co-speech Gesture Video Generation with 3D Human Meshes. ECCV (89) Aniruddha Mahapatra, Richa Mishra, Renda Li, Ziyi Chen, Boyang Ding, Shoulei Wang, Jun-Yan Zhu, Peng Chang, Mei Han, Jing Xiao
2024	A*	`conf`	CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting. ICRA Peter Schaldenbrand, Gaurav Parmar, Jun-Yan Zhu, James McCann, Jean Oh
2024	J	`jnl`	CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting. CoRR Peter Schaldenbrand, Gaurav Parmar, Jun-Yan Zhu, James McCann, Jean Oh
2024	A*	`conf`	Consolidating Attention Features for Multi-view Image Editing. SIGGRAPH Asia Or Patashnik, Rinon Gal, Daniel Cohen-Or, Jun-Yan Zhu, Fernando De la Torre
2024	J	`jnl`	Consolidating Attention Features for Multi-view Image Editing. CoRR Or Patashnik, Rinon Gal, Daniel Cohen-Or, Jun-Yan Zhu, Fernando De la Torre
2024	J	`jnl`	Customizing Text-to-Image Diffusion with Camera Viewpoint Control. CoRR Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu
2024	A*	`conf`	Customizing Text-to-Image Diffusion with Object Viewpoint Control. SIGGRAPH Asia Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu
2024	A*	`conf`	Customizing Text-to-Image Models with a Single Image Pair. SIGGRAPH Asia Maxwell Jones, Sheng-Yu Wang, Nupur Kumari, David Bau, Jun-Yan Zhu
2024	J	`jnl`	Customizing Text-to-Image Models with a Single Image Pair. CoRR Maxwell Jones, Sheng-Yu Wang, Nupur Kumari, David Bau, Jun-Yan Zhu
2024	A*	`conf`	Data Attribution for Text-to-Image Models by Unlearning Synthesized Images. NeurIPS Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang
2024	J	`jnl`	Data Attribution for Text-to-Image Models by Unlearning Synthesized Images. CoRR Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang
2024	—	`conf`	Distilling Diffusion Models Into Conditional GANs. ECCV (28) Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park
2024	J	`jnl`	Distilling Diffusion Models into Conditional GANs. CoRR Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park
2024	—	`conf`	FlashTex: Fast Relightable Mesh Texturing with LightControlNet. ECCV (27) Kangle Deng, Timothy Omernick, Alexander Weiss, Deva Ramanan, Jun-Yan Zhu, Tinghui Zhou, Maneesh Agrawala
2024	J	`jnl`	FlashTex: Fast Relightable Mesh Texturing with LightControlNet. CoRR Kangle Deng, Timothy Omernick, Alexander Weiss, Deva Ramanan, Jun-Yan Zhu, Tinghui Zhou, Maneesh Agrawala
2024	J	`jnl`	Generative Photomontage. CoRR Sean J. Liu, Nupur Kumari, Ariel Shamir, Jun-Yan Zhu
2024	J	`jnl`	On the Content Bias in Fr\'echet Video Distance. CoRR Songwei Ge, Aniruddha Mahapatra, Gaurav Parmar, Jun-Yan Zhu, Jia-Bin Huang
2024	A*	`conf`	On the Content Bias in Fréchet Video Distance. CVPR Songwei Ge, Aniruddha Mahapatra, Gaurav Parmar, Jun-Yan Zhu, Jia-Bin Huang
2024	J	`jnl`	One-Step Image Translation with Text-to-Image Models. CoRR Gaurav Parmar, Taesung Park, Srinivasa Narasimhan, Jun-Yan Zhu
2024	J	`jnl`	SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models. CoRR Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han
2024	A*	`conf`	Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation. NeurIPS Ruihan Gao, Kangle Deng, Gengshan Yang, Wenzhen Yuan, Jun-Yan Zhu
2024	J	`jnl`	Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation. CoRR Ruihan Gao, Kangle Deng, Gengshan Yang, Wenzhen Yuan, Jun-Yan Zhu
2023	A*	`conf`	3D-aware Blending with Generative NeRFs. ICCV Hyunsu Kim, Gayoung Lee, Yunjey Choi, Jin-Hwa Kim, Jun-Yan Zhu
2023	J	`jnl`	3D-aware Blending with Generative NeRFs. CoRR Hyunsu Kim, Gayoung Lee, Yunjey Choi, Jin-Hwa Kim, Jun-Yan Zhu
2023	A*	`conf`	3D-aware Conditional Image Synthesis. CVPR Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu
2023	J	`jnl`	3D-aware Conditional Image Synthesis. CoRR Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu
2023	A*	`conf`	Ablating Concepts in Text-to-Image Diffusion Models. ICCV Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu
2023	J	`jnl`	Ablating Concepts in Text-to-Image Diffusion Models. CoRR Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu
2023	A*	`conf`	Content-based Search for Deep Generative Models. SIGGRAPH Asia Daohan Lu, Sheng-Yu Wang, Nupur Kumari, Rohan Agarwal, Mia Tang, David Bau, Jun-Yan Zhu
2023	A*	`conf`	Controllable Visual-Tactile Synthesis. ICCV Ruihan Gao, Wenzhen Yuan, Jun-Yan Zhu
2023	J	`jnl`	Controllable Visual-Tactile Synthesis. CoRR Ruihan Gao, Wenzhen Yuan, Jun-Yan Zhu
2023	A*	`conf`	Dense Text-to-Image Generation with Attention Modulation. ICCV Yunji Kim, Jiyoung Lee, Jin-Hwa Kim, Jung-Woo Ha, Jun-Yan Zhu
2023	J	`jnl`	Dense Text-to-Image Generation with Attention Modulation. CoRR Yunji Kim, Jiyoung Lee, Jin-Hwa Kim, Jung-Woo Ha, Jun-Yan Zhu
2023	A*	`conf`	Domain Expansion of Image Generators. CVPR Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman
2023	J	`jnl`	Domain Expansion of Image Generators. CoRR Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman
2023	J	`jnl`	Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models. IEEE Trans. Pattern Anal. Mach. Intell. Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
2023	A*	`conf`	Evaluating Data Attribution for Text-to-Image Models. ICCV Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang
2023	J	`jnl`	Evaluating Data Attribution for Text-to-Image Models. CoRR Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang
2023	A*	`conf`	Expressive Text-to-Image Generation with Rich Text. ICCV Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang
2023	J	`jnl`	Expressive Text-to-Image Generation with Rich Text. CoRR Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang
2023	A*	`conf`	Generalizing Dataset Distillation via Deep Generative Prior. CVPR George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
2023	J	`jnl`	Generalizing Dataset Distillation via Deep Generative Prior. CoRR George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
2023	J	`jnl`	Holistic Evaluation of Text-To-Image Models. CoRR 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
2023	A*	`conf`	Holistic Evaluation of Text-to-Image Models. NeurIPS 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
2023	A*	`conf`	Multi-Concept Customization of Text-to-Image Diffusion. CVPR Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
2023	J	`jnl`	Multimodal ultrasound features of breast cancers: correlation with molecular subtypes. BMC Medical Imaging Jun-Yan Zhu, Han-Lu He, Xiao-Chun Jiang, Hai-Wei Bao, Fen Chen
2023	—	`conf`	SIGGRAPH 2023 Course on Diffusion Models. SIGGRAPH Courses Chenlin Meng, Jiaming Song, Shuang Li, Jun-Yan Zhu, Stefano Ermon, Tsung-Yi Lin, Chen-Hsuan Lin, Karsten Kreis
2023	A*	`conf`	Scaling up GANs for Text-to-Image Synthesis. CVPR Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park
2023	J	`jnl`	Scaling up GANs for Text-to-Image Synthesis. CoRR Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park
2023	J	`jnl`	Synthesizing Artistic Cinemagraphs from Text. CoRR Aniruddha Mahapatra, Aliaksandr Siarohin, Hsin-Ying Lee, Sergey Tulyakov, Jun-Yan Zhu
2023	J	`jnl`	Text-Guided Synthesis of Eulerian Cinemagraphs. ACM Trans. Graph. Aniruddha Mahapatra, Aliaksandr Siarohin, Hsin-Ying Lee, Sergey Tulyakov, Jun-Yan Zhu
2023	A*	`conf`	Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis. ICCV Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan
2023	J	`jnl`	Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis. CoRR Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan
2023	—	`conf`	Zero-shot Image-to-Image Translation. SIGGRAPH (Conference Paper Track) Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
2023	J	`jnl`	Zero-shot Image-to-Image Translation. CoRR Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu
2022	J	`jnl`	Content-Based Search for Deep Generative Models. CoRR Daohan Lu, Sheng-Yu Wang, Nupur Kumari, Rohan Agarwal, David Bau, Jun-Yan Zhu
2022	—	`conf`	Dataset Distillation by Matching Training Trajectories. CVPR Workshops George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
2022	A*	`conf`	Dataset Distillation by Matching Training Trajectories. CVPR George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
2022	J	`jnl`	Dataset Distillation by Matching Training Trajectories. CoRR George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
2022	A*	`conf`	Depth-supervised NeRF: Fewer Views and Faster Training for Free. CVPR Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan
2022	A*	`conf`	Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models. NeurIPS Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
2022	J	`jnl`	Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models. CoRR Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
2022	A*	`conf`	Ensembling Off-the-shelf Models for GAN Training. CVPR Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
2022	J	`jnl`	GAN Compression: Efficient Architectures for Interactive Conditional GANs. IEEE Trans. Pattern Anal. Mach. Intell. Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
2022	A*	`conf`	GAN-Supervised Dense Visual Alignment. CVPR William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman
2022	J	`jnl`	Multi-Concept Customization of Text-to-Image Diffusion. CoRR Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
2022	A*	`conf`	On Aliased Resizing and Surprising Subtleties in GAN Evaluation. CVPR Gaurav Parmar, Richard Zhang, Jun-Yan Zhu
2022	J	`jnl`	Rewriting Geometric Rules of a GAN. CoRR Sheng-Yu Wang, David Bau, Jun-Yan Zhu
2022	J	`jnl`	Rewriting geometric rules of a GAN. ACM Trans. Graph. Sheng-Yu Wang, David Bau, Jun-Yan Zhu
2022	A*	`conf`	SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations. ICLR Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon
2022	A*	`conf`	Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. CVPR Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh
2022	J	`jnl`	Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. CoRR Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh
2022	—	`conf`	Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation. CVPR Workshops George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu
2021	—	`conf`	Advances in neural rendering. SIGGRAPH Courses 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
2021	A*	`conf`	Anycost GANs for Interactive Image Synthesis and Editing. CVPR Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu
2021	J	`jnl`	Anycost GANs for Interactive Image Synthesis and Editing. CoRR Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu
2021	—	`conf`	Contrastive Feature Loss for Image Prediction. ICCVW Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang
2021	J	`jnl`	Contrastive Feature Loss for Image Prediction. CoRR Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang
2021	J	`jnl`	Depth-supervised NeRF: Fewer Views and Faster Training for Free. CoRR Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan
2021	A*	`conf`	Editing Conditional Radiance Fields. ICCV Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell
2021	J	`jnl`	Editing Conditional Radiance Fields. CoRR Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell
2021	J	`jnl`	Ensembling Off-the-shelf Models for GAN Training. CoRR Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
2021	A*	`conf`	Ensembling With Deep Generative Views. CVPR Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang
2021	J	`jnl`	Ensembling with Deep Generative Views. CoRR Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang
2021	J	`jnl`	GAN-Supervised Dense Visual Alignment. CoRR William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman
2021	J	`jnl`	On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation. CoRR Gaurav Parmar, Richard Zhang, Jun-Yan Zhu
2021	J	`jnl`	SDEdit: Image Synthesis and Editing with Stochastic Differential Equations. CoRR Chenlin Meng, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon
2021	A*	`conf`	Sketch Your Own GAN. ICCV Sheng-Yu Wang, David Bau, Jun-Yan Zhu
2021	J	`jnl`	Sketch Your Own GAN. CoRR Sheng-Yu Wang, David Bau, Jun-Yan Zhu
2020	—	`conf`	Contrastive Learning for Unpaired Image-to-Image Translation. ECCV (9) Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu
2020	J	`jnl`	Contrastive Learning for Unpaired Image-to-Image Translation. CoRR Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu
2020	A*	`conf`	Differentiable Augmentation for Data-Efficient GAN Training. NeurIPS Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han
2020	J	`jnl`	Differentiable Augmentation for Data-Efficient GAN Training. CoRR Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han
2020	A*	`conf`	Diverse Image Generation via Self-Conditioned GANs. CVPR Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba
2020	J	`jnl`	Diverse Image Generation via Self-Conditioned GANs. CoRR Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba
2020	A*	`conf`	GAN Compression: Efficient Architectures for Interactive Conditional GANs. CVPR Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
2020	J	`jnl`	GAN Compression: Efficient Architectures for Interactive Conditional GANs. CoRR Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
2020	J	`jnl`	Guest Editorial: Generative Adversarial Networks for Computer Vision. Int. J. Comput. Vis. Jun-Yan Zhu, Hongsheng Li, Eli Shechtman, Ming-Yu Liu, Jan Kautz, Antonio Torralba
2020	—	`conf`	Rewriting a Deep Generative Model. ECCV (1) David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba
2020	J	`jnl`	Rewriting a Deep Generative Model. CoRR David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba
2020	J	`jnl`	Semantic Photo Manipulation with a Generative Image Prior. CoRR David Bau, Hendrik Strobelt, William S. Peebles, Jonas Wulff, Bolei Zhou, Jun-Yan Zhu, Antonio Torralba
2020	J	`jnl`	State of the Art on Neural Rendering. Comput. Graph. Forum 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
2020	J	`jnl`	State of the Art on Neural Rendering. CoRR 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
2020	A*	`conf`	Swapping Autoencoder for Deep Image Manipulation. NeurIPS Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang
2020	J	`jnl`	Swapping Autoencoder for Deep Image Manipulation. CoRR Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang
2020	—	`conf`	The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement. ECCV (6) William S. Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, Antonio Torralba
2020	J	`jnl`	The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement. CoRR William S. Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, Antonio Torralba
2020	—	`conf`	Transforming and Projecting Images into Class-Conditional Generative Networks. ECCV (2) Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann
2020	J	`jnl`	Transforming and Projecting Images into Class-conditional Generative Networks. CoRR Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann
2020	J	`jnl`	Understanding the Role of Individual Units in a Deep Neural Network. CoRR David Bau, Jun-Yan Zhu, Hendrik Strobelt, Àgata Lapedriza, Bolei Zhou, Antonio Torralba
2020	J	`jnl`	Understanding the role of individual units in a deep neural network. Proc. Natl. Acad. Sci. USA David Bau, Jun-Yan Zhu, Hendrik Strobelt, Àgata Lapedriza, Bolei Zhou, Antonio Torralba
2019	A*	`conf`	Connecting Touch and Vision via Cross-Modal Prediction. CVPR Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba
2019	J	`jnl`	Connecting Touch and Vision via Cross-Modal Prediction. CoRR Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba
2019	—	`conf`	GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. ICLR (Poster) David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba
2019	J	`jnl`	Learning the signatures of the human grasp using a scalable tactile glove. Nat. Subramanian Sundaram, Petr Kellnhofer, Yunzhu Li, Jun-Yan Zhu, Antonio Torralba, Wojciech Matusik
2019	J	`jnl`	Learning to Synthesize and Manipulate Natural Images. IEEE Computer Graphics and Applications Jun-Yan Zhu
2019	A*	`conf`	Propagation Networks for Model-Based Control Under Partial Observation. ICRA Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B. Tenenbaum, Antonio Torralba, Russ Tedrake
2019	A*	`conf`	Seeing What a GAN Cannot Generate. ICCV David Bau, Jun-Yan Zhu, Jonas Wulff, William S. Peebles, Bolei Zhou, Hendrik Strobelt, Antonio Torralba
2019	J	`jnl`	Seeing What a GAN Cannot Generate. CoRR David Bau, Jun-Yan Zhu, Jonas Wulff, William S. Peebles, Hendrik Strobelt, Bolei Zhou, Antonio Torralba
2019	A*	`conf`	Semantic Image Synthesis With Spatially-Adaptive Normalization. CVPR Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
2019	J	`jnl`	Semantic Image Synthesis with Spatially-Adaptive Normalization. CoRR Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
2019	J	`jnl`	Semantic photo manipulation with a generative image prior. ACM Trans. Graph. David Bau, Hendrik Strobelt, William S. Peebles, Jonas Wulff, Bolei Zhou, Jun-Yan Zhu, Antonio Torralba
2019	—	`conf`	Visualizing and Understanding GANs. DGS@ICLR David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba
2019	J	`jnl`	Visualizing and Understanding Generative Adversarial Networks (Extended Abstract). CoRR David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba
2018	A*	`conf`	3D-Aware Scene Manipulation via Inverse Graphics. NeurIPS Shunyu Yao, Tzu-Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, Bill Freeman, Josh Tenenbaum
2018	J	`jnl`	3D-Aware Scene Manipulation via Inverse Graphics. CoRR Shunyu Yao, Tzu-Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, William T. Freeman, Joshua B. Tenenbaum
2018	A*	`conf`	CyCADA: Cycle-Consistent Adversarial Domain Adaptation. ICML Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell
2018	J	`jnl`	Dataset Distillation. CoRR Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, Alexei A. Efros
2018	J	`jnl`	GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. CoRR David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba
2018	A*	`conf`	Generating Adversarial Examples with Adversarial Networks. IJCAI Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song
2018	J	`jnl`	Generating Adversarial Examples with Adversarial Networks. CoRR Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song
2018	A*	`conf`	High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs. CVPR Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro
2018	J	`jnl`	Propagation Networks for Model-Based Control Under Partial Observation. CoRR Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B. Tenenbaum, Antonio Torralba, Russ Tedrake
2018	—	`conf`	Spatially Transformed Adversarial Examples. ICLR (Poster) Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song
2018	J	`jnl`	Spatially Transformed Adversarial Examples. CoRR Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song
2018	A*	`conf`	Video-to-Video Synthesis. NeurIPS Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Nikolai Yakovenko, Andrew Tao, Jan Kautz, Bryan Catanzaro
2018	J	`jnl`	Video-to-Video Synthesis. CoRR Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro
2018	J	`jnl`	Visual Object Networks: Image Generation with Disentangled 3D Representation. CoRR Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, William T. Freeman
2018	A*	`conf`	Visual Object Networks: Image Generation with Disentangled 3D Representations. NeurIPS Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Josh Tenenbaum, Bill Freeman
2017	J	`jnl`	CyCADA: Cycle-Consistent Adversarial Domain Adaptation. CoRR Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell
2017	J	`jnl`	High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs. CoRR Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro
2017	A*	`conf`	Image-to-Image Translation with Conditional Adversarial Networks. CVPR Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros
2017	J	`jnl`	Light Field Video Capture Using a Learning-Based Hybrid Imaging System. CoRR Ting-Chun Wang, Jun-Yan Zhu, Nima Khademi Kalantari, Alexei A. Efros, Ravi Ramamoorthi
2017	J	`jnl`	Light field video capture using a learning-based hybrid imaging system. ACM Trans. Graph. Ting-Chun Wang, Jun-Yan Zhu, Nima Khademi Kalantari, Alexei A. Efros, Ravi Ramamoorthi
2017	J	`jnl`	Real-Time User-Guided Image Colorization with Learned Deep Priors. CoRR Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros
2017	J	`jnl`	Real-time user-guided image colorization with learned deep priors. ACM Trans. Graph. Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros
2017	—	`conf`	Toward Multimodal Image-to-Image Translation. NIPS Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman
2017	J	`jnl`	Toward Multimodal Image-to-Image Translation. CoRR Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman
2017	A*	`conf`	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks. ICCV Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros
2017	J	`jnl`	Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. CoRR Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros
2016	—	`conf`	A 4D Light-Field Dataset and CNN Architectures for Material Recognition. ECCV (3) Ting-Chun Wang, Jun-Yan Zhu, Hiroaki Ebi, Manmohan Chandraker, Alexei A. Efros, Ravi Ramamoorthi
2016	J	`jnl`	A 4D Light-Field Dataset and CNN Architectures for Material Recognition. CoRR Ting-Chun Wang, Jun-Yan Zhu, Hiroaki Ebi, Manmohan Chandraker, Alexei A. Efros, Ravi Ramamoorthi
2016	—	`conf`	Generative Visual Manipulation on the Natural Image Manifold. ECCV (5) Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros
2016	J	`jnl`	Generative Visual Manipulation on the Natural Image Manifold. CoRR Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros
2016	J	`jnl`	Image-to-Image Translation with Conditional Adversarial Networks. CoRR Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros
2015	A*	`conf`	Learning a Discriminative Model for the Perception of Realism in Composite Images. ICCV Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros
2015	J	`jnl`	Learning a Discriminative Model for the Perception of Realism in Composite Images. CoRR Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros
2015	J	`jnl`	Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jun-Yan Zhu, Jiajun Wu, Yan Xu, Eric I-Chao Chang, Zhuowen Tu
2014	J	`jnl`	AverageExplorer: interactive exploration and alignment of visual data collections. ACM Trans. Graph. Jun-Yan Zhu, Yong Jae Lee, Alexei A. Efros
2014	—	`conf`	Data-driven visual computing. SIGGRAPH ASIA Courses Kai Xu, Leonidas J. Guibas, Alexei A. Efros, Shi-Min Hu, Ariel Shamir, Jun-Yan Zhu
2014	A*	`conf`	MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation. CVPR Jiajun Wu, Yibiao Zhao, Jun-Yan Zhu, Siwei Luo, Zhuowen Tu
2014	J	`jnl`	Weakly supervised histopathology cancer image segmentation and classification. Medical Image Anal. Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Maode Lai, Zhuowen Tu
2013	J	`jnl`	Motion-Aware Gradient Domain Video Composition. IEEE Trans. Image Process. Tao Chen, Jun-Yan Zhu, Ariel Shamir, Shi-Min Hu
2012	A*	`conf`	Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering. CVPR Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Zhuowen Tu
2012	A*	`conf`	Unsupervised object class discovery via saliency-guided multiple class learning. CVPR Jun-Yan Zhu, Jiajun Wu, Yichen Wei, Eric I-Chao Chang, Zhuowen Tu