13 citations · 25 across the 14 of their papers we have counts for
7 papers · 1 filter
ManiVideo: Generating Hand-Object Manipulation Video with Dexterous and Generalizable Grasping
Youxin Pang, Ruizhi Shao, Jiajun Zhang +5
In this paper, we introduce ManiVideo, a novel method for generating consistent and temporally coherent bimanual hand-object manipulation videos from given motion sequences of hand…
SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis
Wenkun He, Yun Liu, Ruitao Liu +1
Synthesizing realistic human-object interaction motions is a critical problem in VR/AR and human animation. Unlike the commonly studied scenarios involving a single human or hand i…
CORE4D: A 4D Human-Object-Human Interaction Dataset for Collaborative Object REarrangement
Yun Liu, Chengwen Zhang, Ruofan Xing +3
Understanding how humans cooperatively rearrange household objects is critical for VR/AR and human-robot interaction. However, in-depth studies on modeling these behaviors are unde…
TACO: Benchmarking Generalizable Bimanual Tool-ACtion-Object Understanding
Yun Liu, Haolin Yang, Xu Si +5
Humans commonly work with multiple objects in daily life and can intuitively transfer manipulation skills to novel objects by understanding object functional regularities. However,…
CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis
Juntian Zheng, Qingyuan Zheng, Lixing Fang +2
In this work, we focus on a novel task of category-level functional hand-object manipulation synthesis covering both rigid and articulated object categories. Given an object geomet…
Enhancing Generalizable 6D Pose Tracking of an In-Hand Object with Tactile Sensing
Yun Liu, Xiaomeng Xu, Weihang Chen +5
When manipulating an object to accomplish complex tasks, humans rely on both vision and touch to keep track of the object's 6D pose. However, most existing object pose tracking sys…
HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction
Yunze Liu, Yun Liu, Che Jiang +7
We present HOI4D, a large-scale 4D egocentric dataset with rich annotations, to catalyze the research of category-level human-object interaction. HOI4D consists of 2.4M RGB-D egoce…