Gao, Jun

44 publications

ICLR 2026 ChronoEdit: Towards Temporal Reasoning for In-Context Image Editing and World Simulation Jay Zhangjie Wu, Xuanchi Ren, Tianchang Shen, Tianshi Cao, Kai He, Yifan Lu, Ruiyuan Gao, Enze Xie, Shiyi Lan, Jose M. Alvarez, Jun Gao, Sanja Fidler, Zian Wang, Huan Ling

ICLR 2026 Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation Sherwin Bahmani, Tianchang Shen, Jiawei Ren, Jiahui Huang, Yifeng Jiang, Haithem Turki, Andrea Tagliasacchi, David B. Lindell, Zan Gojcic, Sanja Fidler, Huan Ling, Jun Gao, Xuanchi Ren

AAAI 2025 AIM: Let Any Multimodal Large Language Models Embrace Efficient In-Context Learning Jun Gao, Qian Qiao, Tianxiang Wu, Zili Wang, Ziqiang Cao, Wenjie Li

CVPR 2025 DIFIX3D+: Improving 3D Reconstructions with Single-Step Diffusion Models Jay Zhangjie Wu, Yuxuan Zhang, Haithem Turki, Xuanchi Ren, Jun Gao, Mike Zheng Shou, Sanja Fidler, Zan Gojcic, Huan Ling

CVPR 2025 Diffusion Renderer: Neural Inverse and Forward Rendering with Video Diffusion Models Ruofan Liang, Zan Gojcic, Huan Ling, Jacob Munkberg, Jon Hasselgren, Chih-Hao Lin, Jun Gao, Alexander Keller, Nandita Vijaykumar, Sanja Fidler, Zian Wang

TMLR 2025 Distributed Hierarchical Decomposition Framework for Multimodal Timeseries Prediction Wei Ye, Prashant Khanduri, Jiangweizhi Peng, Feng Tian, Jun Gao, Jie Ding, Zhi-Li Zhang, Mingyi Hong

ICML 2025 EGPlace: An Efficient Macro Placement Method via Evolutionary Search with Greedy Repositioning Guided Mutation Ji Deng, Zhao Li, Ji Zhang, Jun Gao

CVPR 2025 GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control Xuanchi Ren, Tianchang Shen, Jiahui Huang, Huan Ling, Yifan Lu, Merlin Nimier-David, Thomas Müller, Alexander Keller, Sanja Fidler, Jun Gao

IJCAI 2025 Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method Wanfu Gao, Jun Gao, Qingqi Han, Hanlin Pan, Kunpeng Liu

ICCV 2025 InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models Yifan Lu, Xuanchi Ren, Jiawei Yang, Tianchang Shen, Zhangjie Wu, Jun Gao, Yue Wang, Siheng Chen, Mike Chen, Sanja Fidler, Jiahui Huang

CVPR 2025 Interleaved-Modal Chain-of-Thought Jun Gao, Yongqi Li, Ziqiang Cao, Wenjie Li

ICCV 2025 PartField: Learning 3D Feature Fields for Part Segmentation and Beyond Minghua Liu, Mikaela Angelina Uy, Donglai Xiang, Hao Su, Sanja Fidler, Nicholas Sharp, Jun Gao

IJCAI 2025 Two-Stage Feature Generation with Transformer and Reinforcement Learning Wanfu Gao, Zengyao Man, Zebin He, Yuhao Tang, Jun Gao, Kunpeng Liu

ECCV 2024 LATTE3D: Large-Scale Amortized Text-to-Enhanced3D Synthesis Kevin Xie, Tianshi Cao, Jonathan P Lorraine, Jun Gao, James R Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng

ICLR 2024 WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis

AAAI 2023 A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu

CVPR 2023 Magic3D: High-Resolution Text-to-3D Content Creation Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin

CVPR 2023 Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes Zian Wang, Tianchang Shen, Jun Gao, Shengyu Huang, Jacob Munkberg, Jon Hasselgren, Zan Gojcic, Wenzheng Chen, Sanja Fidler

CVPR 2022 Extracting Triangular 3D Models, Materials, and Lighting from Images Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Müller, Sanja Fidler

NeurIPS 2022 GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler

ICCV 2021 3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations Kangxue Yin, Jun Gao, Maria Shugrina, Sameh Khamis, Sanja Fidler

NeurIPS 2021 DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler

CVPR 2021 DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler

NeurIPS 2021 Deep Marching Tetrahedra: A Hybrid Representation for High-Resolution 3D Shape Synthesis Tianchang Shen, Jun Gao, Kangxue Yin, Ming-Yu Liu, Sanja Fidler

ICLR 2021 Image GANs Meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler

ICLR 2021 Information Laundering for Model Privacy Xinran Wang, Yu Xiang, Jun Gao, Jie Ding

ECCV 2020 Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid Jun Gao, Zian Wang, Jinchen Xuan, Sanja Fidler

ECCV 2020 Interactive Annotation of 3D Object Geometry Using 2D Scribbles Tianchang Shen, Jun Gao, Amlan Kar, Sanja Fidler

NeurIPS 2020 Learning Deformable Tetrahedral Meshes for 3D Reconstruction Jun Gao, Wenzheng Chen, Tommy Xiang, Alec Jacobson, Morgan McGuire, Sanja Fidler

ECCV 2020 ScribbleBox: Interactive Annotation Framework for Video Object Segmentation Bowen Chen, Huan Ling, Xiaohui Zeng, Jun Gao, Ziyue Xu, Sanja Fidler

IJCAI 2019 A Similarity Measurement Method Based on Graph Kernel for Disconnected Graphs Jun Gao, Jianliang Gao

IJCAI 2019 AddGraph: Anomaly Detection in Dynamic Graph Using Attention-Based Temporal GCN Li Zheng, Zhenpeng Li, Jian Li, Zhao Li, Jun Gao

CVPR 2019 Fast Interactive Object Annotation with Curve-GCN Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler

AAAI 2019 Generating Multiple Diverse Responses for Short-Text Conversation Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Shuming Shi

NeurIPS 2019 Learning to Predict 3D Objects with an Interpolation-Based Differentiable Renderer Wenzheng Chen, Huan Ling, Jun Gao, Edward Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler

ICLR 2019 Representation Degeneration Problem in Training Natural Language Generation Models Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tieyan Liu

AAAI 2018 ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao

ICML 2018 Dropout Training, Data-Dependent Regularization, and Generalization Bounds Wenlong Mou, Yuchen Zhou, Jun Gao, Liwei Wang

ECCV 2018 Learning to Navigate for Fine-Grained Classification Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang

AAAI 2017 Scalable Graph Embedding for Asymmetric Proximity Chang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao

IJCAI 2015 Saliency Detection with a Deeper Investigation of Light Field Jun Zhang, Meng Wang, Jun Gao, Yi Wang, Xudong Zhang, Xindong Wu

ECML-PKDD 2013 Incremental Local Evolutionary Outlier Detection for Dynamic Social Networks Tengfei Ji, Dongqing Yang, Jun Gao

ICCV 2011 Learning to Predict the Perceived Visual Quality of Photos Ou Wu, Weiming Hu, Jun Gao

IJCAI 2011 Learning to Rank Under Multiple Annotators Ou Wu, Weiming Hu, Jun Gao