InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions
Sirui Xu, Hung Yu Ling, Yu-Xiong Wang, Liang-Yan Gui
2025年份
29顶会引用
摘要
Figure 1. InterMimic enables physically simulated humans to perform interactions with dynamic and diverse objects. It supports highlydynamic, multi-object interactions and scalable skill learning (Top), making it adaptable for versatile downstream applications (Bottom): it can translate whole-body loco-manipulation skills to a humanoid robot [24,81], perfect interaction MoCap data, and bridge kinematic generation, e.g., predicting future interactions from past (InterDiff [101]) or generating interactions given text prompts (InterDreamer [102]).
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引用它的顶会 Paper29
- KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic SkillsWeiji Xie, Jinrui Han, Jiakun Zheng, Huanyu Li 等NeurIPS 2025 · 被引用 120 次
- InterPrior: Scaling Generative Control for Physics-Based Human-Object InteractionsSirui Xu, Samuel Schulter, Morteza Ziyadi, Xialin He 等CVPR 2026 · 被引用 14 次
- 🎧MOSPA: Human Motion Generation Driven by Spatial AudioShuyang Xu, Zhiyang Dou, Mingyi Shi, Liang Pan 等NeurIPS 2025 · 被引用 13 次
- SViMo: Synchronized Diffusion for Video and Motion Generation in Hand-object Interaction ScenariosLingwei Dang, Ruizhi Shao, Hongwen Zhang, Wei Min 等NeurIPS 2025 · 被引用 12 次
- Human-Object Interaction via Automatically Designed VLM-Guided Motion PolicyZekai Deng, Ye Shi, Kaiyang Ji, Lan Xu 等ICLR 2026 · 被引用 11 次
它引用的顶会 Paper44
- Training language models to follow instructions with human feedbackLong Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida 等NeurIPS 2022 · 被引用 24,707 次
- Generating Diverse and Natural 3D Human Motions from TextChuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang 等CVPR 2022 · 被引用 462 次
- AMP: adversarial motion priors for stylized physics-based character controlXue Bin Peng, Ze Ma, Pieter Abbeel, Sergey Levine 等SIGGRAPH 2021 · 被引用 392 次
- Perpetual Humanoid Control for Real-time Simulated AvatarsZhengyi Luo, Jinkun Cao, Alexander Winkler, Kris Kitani 等ICCV 2023 · 被引用 256 次
- ASE: large-scale reusable adversarial skill embeddings for physically simulated charactersXue Bin Peng, Yunrong Guo, Lina Halper, Sergey Levine 等SIGGRAPH 2022 · 被引用 217 次
相关 Paper
- InterDiff: Generating 3D Human-Object Interactions with Physics-Informed DiffusionSirui Xu, Zhengyuan Li, Yu-Xiong Wang, Liang-Yan GuiICCV 2023 · 被引用 201 次
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- Deep Compliant ControlSeunghwan Lee, Phil Sik Chang, Jehee LeeSIGGRAPH 2022 · 被引用 15 次
- Learning Object-Centric Motion Priors from Human for Robotic Dexterous ManipulationZhengdong Hong, Guofeng ZhangAAAI 2026
- NIL: No-data Imitation LearningMert Albaba, Chenhao Li, Markos Diomataris, Omid Taheri 等CVPR 2026
