1 citations · 1 across the 6 of their papers we have counts for
6 papers
ExecVLA: Following Fine-Grained Execution Constraints in Vision-Language-Action Models with Bi-Level Action Representation
Gaoge Han, Zhengqing Gao, Ziwen Li +5
We study fine-grained execution-constraint following in vision-language-action (VLA) models. Given an invariant task goal, the policy must follow instruction-specified execution co…
GrootVL: Tree Topology is All You Need in State Space Model
Yicheng Xiao, Lin Song, Shaoli Huang +5
The state space models, employing recursively propagated features, demonstrate strong representation capabilities comparable to Transformer models and superior efficiency. However,…
Programmable Motion Generation for Open-Set Motion Control Tasks
Hanchao Liu, Xiaohang Zhan, Shaoli Huang +2
Character animation in real-world scenarios necessitates a variety of constraints, such as trajectories, key-frames, interactions, etc. Existing methodologies typically treat singl…
Realistic Human Motion Generation with Cross-Diffusion Models
Zeping Ren, Shaoli Huang, Xiu Li
We introduce the Cross Human Motion Diffusion Model (CrossDiff), a novel approach for generating high-quality human motion based on textual descriptions. Our method integrates 3D a…
SemanticBoost: Elevating Motion Generation with Augmented Textual Cues
Xin He, Shaoli Huang, Xiaohang Zhan +2
Current techniques face difficulties in generating motions from intricate semantic descriptions, primarily due to insufficient semantic annotations in datasets and weak contextual…
TapMo: Shape-aware Motion Generation of Skeleton-free Characters
Jiaxu Zhang, Shaoli Huang, Zhigang Tu +4
Previous motion generation methods are limited to the pre-rigged 3D human model, hindering their applications in the animation of various non-rigged characters. In this work, we pr…