Zhu, Jun-Yan

63 publications

ICCV 2025 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

NeurIPS 2025 Fast Data Attribution for Text-to-Image Models Sheng-Yu Wang, Aaron Hertzmann, Alexei A Efros, Richard Zhang, Jun-Yan Zhu

ICCV 2025 Generating Multi-Image Synthetic Data for Text-to-Image Customization Nupur Kumari, Xi Yin, Jun-Yan Zhu, Ishan Misra, Samaneh Azadi

ICCV 2025 Generating Physically Stable and Buildable Brick Structures from Text Ava Pun, Kangle Deng, Ruixuan Liu, Deva Ramanan, Changliu Liu, Jun-Yan Zhu

CVPR 2025 Generative Photomontage Sean J. Liu, Nupur Kumari, Ariel Shamir, Jun-Yan Zhu

CVPR 2025 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

ICLR 2025 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

ECCV 2024 Co-Speech Gesture Video Generation with 3D Human Meshes Aniruddha Mahapatra, Richa Mishra, Ziyi Chen, Boyang Ding, Renda Li, Shoulei Wang, Jun-Yan Zhu, Peng Chang, Mei Han, Jing Xiao

NeurIPS 2024 Data Attribution for Text-to-Image Models by Unlearning Synthesized Images Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang

ECCV 2024 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

ECCV 2024 FlashTex: Fast Relightable Mesh Texturing with LightControlNet Kangle Deng, Timothy Omernick, Alexander B Weiss, Deva Ramanan, Jun-Yan Zhu, Tinghui Zhou, Maneesh Agrawala

CVPR 2024 On the Content Bias in Frechet Video Distance Songwei Ge, Aniruddha Mahapatra, Gaurav Parmar, Jun-Yan Zhu, Jia-Bin Huang

NeurIPS 2024 Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation Ruihan Gao, Kangle Deng, Gengshan Yang, Wenzhen Yuan, Jun-Yan Zhu

ICCV 2023 3D-Aware Blending with Generative NeRFs Hyunsu Kim, Gayoung Lee, Yunjey Choi, Jin-Hwa Kim, Jun-Yan Zhu

CVPR 2023 3D-Aware Conditional Image Synthesis Kangle Deng, Gengshan Yang, Deva Ramanan, Jun-Yan Zhu

ICCV 2023 Ablating Concepts in Text-to-Image Diffusion Models Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu

ICCV 2023 Controllable Visual-Tactile Synthesis Ruihan Gao, Wenzhen Yuan, Jun-Yan Zhu

ICCV 2023 Dense Text-to-Image Generation with Attention Modulation Yunji Kim, Jiyoung Lee, Jin-Hwa Kim, Jung-Woo Ha, Jun-Yan Zhu

CVPR 2023 Domain Expansion of Image Generators Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman

ICCV 2023 Evaluating Data Attribution for Text-to-Image Models Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang

ICCV 2023 Expressive Text-to-Image Generation with Rich Text Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang

CVPR 2023 Generalizing Dataset Distillation via Deep Generative Prior George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu

NeurIPS 2023 Holistic Evaluation of Text-to-Image Models 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

CVPR 2023 Multi-Concept Customization of Text-to-Image Diffusion Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu

CVPR 2023 Scaling up GANs for Text-to-Image Synthesis Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park

ICCV 2023 Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan

CVPR 2022 Dataset Distillation by Matching Training Trajectories George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu

CVPRW 2022 Dataset Distillation by Matching Training Trajectories George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu

CVPR 2022 Depth-Supervised NeRF: Fewer Views and Faster Training for Free Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan

NeurIPS 2022 Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu

CVPR 2022 Ensembling Off-the-Shelf Models for GAN Training Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu

CVPR 2022 GAN-Supervised Dense Visual Alignment William Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman

CVPR 2022 On Aliased Resizing and Surprising Subtleties in GAN Evaluation Gaurav Parmar, Richard Zhang, Jun-Yan Zhu

ICLR 2022 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

CVPR 2022 Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh

CVPRW 2022 Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu

CVPR 2021 Anycost GANs for Interactive Image Synthesis and Editing Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu

ICCVW 2021 Contrastive Feature Loss for Image Prediction Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang

ICCV 2021 Editing Conditional Radiance Fields Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell

CVPR 2021 Ensembling with Deep Generative Views Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang

ICCV 2021 Sketch Your Own GAN Sheng-Yu Wang, David Bau, Jun-Yan Zhu

ECCV 2020 Aligning and Projecting Images to Class-Conditional Generative Networks Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann

NeurIPS 2020 Differentiable Augmentation for Data-Efficient GAN Training Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han

ECCV 2020 Rewriting a Deep Generative Model David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba

NeurIPS 2020 Swapping Autoencoder for Deep Image Manipulation Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei Efros, Richard Zhang

ECCV 2020 The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement William Peebles, John Peebles, Jun-Yan Zhu, Alexei Efros, Antonio Torralba

ICLR 2019 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

ICLRW 2019 Visualizing and Understanding GANs David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba

NeurIPS 2018 3D-Aware Scene Manipulation via Inverse Graphics Shunyu Yao, Tzu Ming Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, Bill Freeman, Josh Tenenbaum

ICML 2018 CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei Efros, Trevor Darrell

IJCAI 2018 Generating Adversarial Examples with Adversarial Networks Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song

ICLR 2018 Spatially Transformed Adversarial Examples Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song

NeurIPS 2018 Video-to-Video Synthesis Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro

NeurIPS 2018 Visual Object Networks: Image Generation with Disentangled 3D Representations Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Josh Tenenbaum, Bill Freeman

CVPR 2017 Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros

NeurIPS 2017 Toward Multimodal Image-to-Image Translation Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A Efros, Oliver Wang, Eli Shechtman

ICCV 2017 Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros

ECCV 2016 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

ECCV 2016 Generative Visual Manipulation on the Natural Image Manifold Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, Alexei A. Efros

ICCV 2015 Learning a Discriminative Model for the Perception of Realism in Composite Images Jun-Yan Zhu, Philipp Krahenbuhl, Eli Shechtman, Alexei A. Efros

CVPR 2014 MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation Jiajun Wu, Yibiao Zhao, Jun-Yan Zhu, Siwei Luo, Zhuowen Tu

CVPR 2012 Multiple Clustered Instance Learning for Histopathology Cancer Image Classification, Segmentation and Clustering Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Zhuowen Tu

CVPR 2012 Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning Jun-Yan Zhu, Jiajun Wu, Yichen Wei, Eric I-Chao Chang, Zhuowen Tu