5 papers
GeneralVLA: Generalizable Vision-Language-Action Models with Knowledge-Guided Trajectory Planning
Guoqing Ma, Siheng Wang, Zeyu Zhang +2
Large foundation models have shown strong open-world generalization to complex problems in vision and language, but similar levels of generalization have yet to be achieved in robo…
AnyDepth: Depth Estimation Made Easy
Zeyu Ren, Zeyu Zhang, Wukai Li +2
Monocular depth estimation aims to recover the depth information of 3D scenes from 2D images. Recent work has made significant progress, but its reliance on large-scale datasets an…
SafeMo: Linguistically Grounded Unlearning for Trustworthy Text-to-Motion Generation
Yiling Wang, Zeyu Zhang, Yiran Wang +1
Text-to-motion (T2M) generation with diffusion backbones achieves strong realism and alignment. Safety concerns in T2M methods have been raised in recent years; existing methods re…
DragMesh: Interactive 3D Generation Made Easy
Tianshan Zhang, Zeyu Zhang, Hao Tang
While generative models have excelled at creating static 3D content, the pursuit of systems that understand how objects move and respond to interactions remains a fundamental chall…
EgoLCD: Egocentric Video Generation with Long Context Diffusion
Liuzhou Zhang, Jiarui Ye, Yuanlei Wang +6
Generating long, coherent egocentric videos is difficult, as hand-object interactions and procedural tasks require reliable long-term memory. Existing autoregressive models suffer…