Jun-Yan Zhu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
70
Venues
9
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
70 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Multi-subject Open-set Personalization in Video Generation. | 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 | CVPR | Generative Photomontage. | Sean J. Liu, Nupur Kumari, Ariel Shamir, Jun-Yan Zhu |
| 2025 | ICCV | Efficient Autoregressive Shape Generation Via Octree-Based Adaptive Tokenization. | Kangle Deng, Hsueh-Ti Derek Liu, Yiheng Zhu, Xiaoxia Sun, Chong Shang, Kiran S. Bhat, Deva Ramanan, Jun-Yan Zhu, Maneesh Agrawala, Tinghui Zhou |
| 2025 | ICCV | Generating Multi-Image Synthetic Data for Text-to-Image Customization. | Nupur Kumari, Xi Yin, Jun-Yan Zhu, Ishan Misra, Samaneh Azadi |
| 2025 | ICCV | Generating Physically Stable and Buildable Brick Structures from Text. | Ava Pun, Kangle Deng, Ruixuan Liu, Deva Ramanan, Changliu Liu, Jun-Yan Zhu |
| 2025 | ICLR | SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models. | Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han |
| 2025 | SiggraphA | Input-Aware Sparse Attention for Real-Time Co-Speech Video Generation. | Beijia Lu, Ziyi Chen, Jing Xiao, Jun-Yan Zhu |
| 2025 | SiggraphA | Object-level Visual Prompts for Compositional Image Generation. | Gaurav Parmar, Or Patashnik, Kuan-Chieh Wang, Daniil Ostashev, Srinivasa G. Narasimhan, Jun-Yan Zhu, Daniel Cohen-Or, Kfir Aberman |
| 2024 | CVPR | On the Content Bias in Frchet Video Distance. | Songwei Ge, Aniruddha Mahapatra, Gaurav Parmar, Jun-Yan Zhu, Jia-Bin Huang |
| 2024 | ECCV | FlashTex: Fast Relightable Mesh Texturing with LightControlNet. | Kangle Deng, Timothy Omernick, Alexander Weiss, Deva Ramanan, Jun-Yan Zhu, Tinghui Zhou, Maneesh Agrawala |
| 2024 | ECCV | Distilling Diffusion Models Into Conditional GANs. | Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park |
| 2024 | ECCV | Co-speech Gesture Video Generation with 3D Human Meshes. | Aniruddha Mahapatra, Richa Mishra, Renda Li, Ziyi Chen, Boyang Ding, Shoulei Wang, Jun-Yan Zhu, Peng Chang, Mei Han, Jing Xiao |
| 2024 | ICRA | CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting. | Peter Schaldenbrand, Gaurav Parmar, Jun-Yan Zhu, James McCann, Jean Oh |
| 2024 | SiggraphA | Customizing Text-to-Image Models with a Single Image Pair. | Maxwell Jones, Sheng-Yu Wang, Nupur Kumari, David Bau, Jun-Yan Zhu |
| 2024 | SiggraphA | Customizing Text-to-Image Diffusion with Object Viewpoint Control. | Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu |
| 2024 | SiggraphA | Consolidating Attention Features for Multi-view Image Editing. | Or Patashnik, Rinon Gal, Daniel Cohen-Or, Jun-Yan Zhu, Fernando De la Torre |
| 2023 | CVPR | Generalizing Dataset Distillation via Deep Generative Prior. | George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu |
| 2023 | CVPR | 3D-aware Conditional Image Synthesis. | Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu |
| 2023 | CVPR | Scaling up GANs for Text-to-Image Synthesis. | Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park |
| 2023 | CVPR | Multi-Concept Customization of Text-to-Image Diffusion. | Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu |
| 2023 | CVPR | Domain Expansion of Image Generators. | Yotam Nitzan, Michal Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman |
| 2023 | ICCV | Controllable Visual-Tactile Synthesis. | Ruihan Gao, Wenzhen Yuan, Jun-Yan Zhu |
| 2023 | ICCV | Expressive Text-to-Image Generation with Rich Text. | Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang |
| 2023 | ICCV | 3D-aware Blending with Generative NeRFs. | Hyunsu Kim, Gayoung Lee, Yunjey Choi, Jin-Hwa Kim, Jun-Yan Zhu |
| 2023 | ICCV | Dense Text-to-Image Generation with Attention Modulation. | Yunji Kim, Jiyoung Lee, Jin-Hwa Kim, Jung-Woo Ha, Jun-Yan Zhu |
| 2023 | ICCV | Ablating Concepts in Text-to-Image Diffusion Models. | Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu |
| 2023 | ICCV | Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis. | Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan |
| 2023 | ICCV | Evaluating Data Attribution for Text-to-Image Models. | Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang |
| 2023 | SIGGRAPH | SIGGRAPH 2023 Course on Diffusion Models. | Chenlin Meng, Jiaming Song, Shuang Li, Jun-Yan Zhu, Stefano Ermon, Tsung-Yi Lin, Chen-Hsuan Lin, Karsten Kreis |
| 2023 | SIGGRAPH | Zero-shot Image-to-Image Translation. | Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu |
| 2023 | SiggraphA | Content-based Search for Deep Generative Models. | Daohan Lu, Sheng-Yu Wang, Nupur Kumari, Rohan Agarwal, Mia Tang, David Bau, Jun-Yan Zhu |
| 2022 | CVPR | Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation. | George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu |
| 2022 | CVPR | Dataset Distillation by Matching Training Trajectories. | George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu |
| 2022 | CVPR | Dataset Distillation by Matching Training Trajectories. | George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu |
| 2022 | CVPR | Depth-supervised NeRF: Fewer Views and Faster Training for Free. | Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan |
| 2022 | CVPR | Ensembling Off-the-shelf Models for GAN Training. | Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu |
| 2022 | CVPR | On Aliased Resizing and Surprising Subtleties in GAN Evaluation. | Gaurav Parmar, Richard Zhang, Jun-Yan Zhu |
| 2022 | CVPR | Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. | Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh |
| 2022 | CVPR | GAN-Supervised Dense Visual Alignment. | William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman |
| 2022 | ICLR | SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations. | Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, Stefano Ermon |
| 2021 | CVPR | Anycost GANs for Interactive Image Synthesis and Editing. | Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu |
| 2021 | CVPR | Ensembling With Deep Generative Views. | Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang |
| 2021 | ICCV | Editing Conditional Radiance Fields. | Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell |
| 2021 | ICCV | Sketch Your Own GAN. | Sheng-Yu Wang, David Bau, Jun-Yan Zhu |
| 2021 | SIGGRAPH | Advances in neural rendering. | Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Zexiang Xu, Tomas Simon, Matthias Niener, 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 Zollhfer |
| 2020 | CVPR | GAN Compression: Efficient Architectures for Interactive Conditional GANs. | Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han |
| 2020 | CVPR | Diverse Image Generation via Self-Conditioned GANs. | Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba |
| 2020 | ECCV | Rewriting a Deep Generative Model. | David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba |
| 2020 | ECCV | Transforming and Projecting Images into Class-Conditional Generative Networks. | Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann |
| 2020 | ECCV | Contrastive Learning for Unpaired Image-to-Image Translation. | Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu |
| 2020 | ECCV | The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement. | William S. Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, Antonio Torralba |
| 2019 | CVPR | Connecting Touch and Vision via Cross-Modal Prediction. | Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba |
| 2019 | CVPR | Semantic Image Synthesis With Spatially-Adaptive Normalization. | Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu |
| 2019 | ICCV | Seeing What a GAN Cannot Generate. | David Bau, Jun-Yan Zhu, Jonas Wulff, William S. Peebles, Bolei Zhou, Hendrik Strobelt, Antonio Torralba |
| 2019 | ICLR | GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. | David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba |
| 2019 | ICLR | Visualizing and Understanding GANs. | David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba |
| 2019 | ICRA | Propagation Networks for Model-Based Control Under Partial Observation. | Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B. Tenenbaum, Antonio Torralba, Russ Tedrake |
| 2018 | CVPR | High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs. | Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro |
| 2018 | ICLR | Spatially Transformed Adversarial Examples. | Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song |
| 2018 | ICML | CyCADA: Cycle-Consistent Adversarial Domain Adaptation. | Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell |
| 2018 | IJCAI | Generating Adversarial Examples with Adversarial Networks. | Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song |
| 2017 | CVPR | Image-to-Image Translation with Conditional Adversarial Networks. | Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros |
| 2017 | ICCV | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks. | Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros |
| 2016 | ECCV | A 4D Light-Field Dataset and CNN Architectures for Material Recognition. | Ting-Chun Wang, Jun-Yan Zhu, Hiroaki Ebi, Manmohan Chandraker, Alexei A. Efros, Ravi Ramamoorthi |
| 2016 | ECCV | Generative Visual Manipulation on the Natural Image Manifold. | Jun-Yan Zhu, Philipp Krhenbhl, Eli Shechtman, Alexei A. Efros |
| 2015 | ICCV | Learning a Discriminative Model for the Perception of Realism in Composite Images. | Jun-Yan Zhu, Philipp Krhenbhl, Eli Shechtman, Alexei A. Efros |
| 2014 | CVPR | MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation. | Jiajun Wu, Yibiao Zhao, Jun-Yan Zhu, Siwei Luo, Zhuowen Tu |
| 2014 | SIGGRAPH | Data-driven visual computing. | Kai Xu, Leonidas J. Guibas, Alexei A. Efros, Shi-Min Hu, Ariel Shamir, Jun-Yan Zhu |
| 2012 | CVPR | Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering. | Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Zhuowen Tu |
| 2012 | CVPR | Unsupervised object class discovery via saliency-guided multiple class learning. | Jun-Yan Zhu, Jiajun Wu, Yichen Wei, Eric I-Chao Chang, Zhuowen Tu |