Gu, Jiayuan

18 publications

CVPR 2025 AffordDP: Generalizable Diffusion Policy with Transferable Affordance Shijie Wu, Yihang Zhu, Yunao Huang, Kaizhen Zhu, Jiayuan Gu, Jingyi Yu, Ye Shi, Jingya Wang

NeurIPS 2025 PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding Penghao Wang, Yiyang He, Xin Lv, Yukai Zhou, Lan Xu, Jingyi Yu, Jiayuan Gu

ICLR 2025 Point-SAM: Promptable 3D Segmentation Model for Point Clouds Yuchen Zhou, Jiayuan Gu, Tung Yen Chiang, Fanbo Xiang, Hao Su

NeurIPS 2025 SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation Zekun Qi, Wenyao Zhang, Yufei Ding, Runpei Dong, XinQiang Yu, Jingwen Li, Lingyun Xu, Baoyu Li, Xialin He, Guofan Fan, Jiazhao Zhang, Jiawei He, Jiayuan Gu, Xin Jin, Kaisheng Ma, Zhizheng Zhang, He Wang, Li Yi

CoRL 2024 Evaluating Real-World Robot Manipulation Policies in Simulation Xuanlin Li, Kyle Hsu, Jiayuan Gu, Oier Mees, Karl Pertsch, Homer Rich Walke, Chuyuan Fu, Ishikaa Lunawat, Isabel Sieh, Sean Kirmani, Sergey Levine, Jiajun Wu, Chelsea Finn, Hao Su, Quan Vuong, Ted Xiao

CVPR 2024 One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion Minghua Liu, Ruoxi Shi, Linghao Chen, Zhuoyang Zhang, Chao Xu, Xinyue Wei, Hansheng Chen, Chong Zeng, Jiayuan Gu, Hao Su

CoRL 2024 RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches Priya Sundaresan, Quan Vuong, Jiayuan Gu, Peng Xu, Ted Xiao, Sean Kirmani, Tianhe Yu, Michael Stark, Ajinkya Jain, Karol Hausman, Dorsa Sadigh, Jeannette Bohg, Stefan Schaal

ICLR 2024 RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas, Kanishka Rao, Wenhao Yu, Chuyuan Fu, Keerthana Gopalakrishnan, Zhuo Xu, Priya Sundaresan, Peng Xu, Hao Su, Karol Hausman, Chelsea Finn, Quan Vuong, Ted Xiao

ICLR 2023 ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills Jiayuan Gu, Fanbo Xiang, Xuanlin Li, Zhan Ling, Xiqiang Liu, Tongzhou Mu, Yihe Tang, Stone Tao, Xinyue Wei, Yunchao Yao, Xiaodi Yuan, Pengwei Xie, Zhiao Huang, Rui Chen, Hao Su

ICLR 2023 Multi-Skill Mobile Manipulation for Object Rearrangement Jiayuan Gu, Devendra Singh Chaplot, Hao Su, Jitendra Malik

NeurIPSW 2022 Multi-Skill Mobile Manipulation for Object Rearrangement Jiayuan Gu, Devendra Singh Chaplot, Hao Su, Jitendra Malik

ECCV 2020 Deep Feedback Inverse Problem Solver Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun

NeurIPS 2020 Refactoring Policy for Compositional Generalizability Using Self-Supervised Object Proposals Tongzhou Mu, Jiayuan Gu, Zhiwei Jia, Hao Tang, Hao Su

NeurIPS 2020 Towards Scale-Invariant Graph-Related Problem Solving by Iterative Homogeneous GNNs Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su

ECCV 2020 Weakly-Supervised 3D Shape Completion in the Wild Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun

ICCVW 2019 Multi-View PointNet for 3D Scene Understanding Maximilian Jaritz, Jiayuan Gu, Hao Su

ECCV 2018 Learning Region Features for Object Detection Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai

NeurIPS 2018 Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation Liwei Wang, Lunjia Hu, Jiayuan Gu, Zhiqiang Hu, Yue Wu, Kun He, John Hopcroft