5 papers
SPREAD: Spatial-Physical REasoning via geometry Aware Diffusion
Minzhang Li, Kuixiang Shao, Xuebing Li +6
Automated 3D scene generation is pivotal for applications spanning virtual reality, digital content creation, and Embodied AI. While computer graphics prioritizes aesthetic layouts…
PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding
Penghao Wang, Yiyang He, Xin Lv +4
Understanding objects at the level of their constituent parts is fundamental to advancing computer vision, graphics, and robotics. While datasets like PartNet have driven progress…
ExFace: Expressive Facial Control for Humanoid Robots with Diffusion Transformers and Bootstrap Training
Dong Zhang, Jingwei Peng, Yuyang Jiao +3
This paper presents a novel Expressive Facial Control (ExFace) method based on Diffusion Transformers, which achieves precise mapping from human facial blendshapes to bionic robot…
CAST: Component-Aligned 3D Scene Reconstruction from an RGB Image
Kaixin Yao, Longwen Zhang, Xinhao Yan +6
Recovering high-quality 3D scenes from a single RGB image is a challenging task in computer graphics. Current methods often struggle with domain-specific limitations or low-quality…
AffordDP: Generalizable Diffusion Policy with Transferable Affordance
Shijie Wu, Yihang Zhu, Yunao Huang +5
Diffusion-based policies have shown impressive performance in robotic manipulation tasks while struggling with out-of-domain distributions. Recent efforts attempted to enhance gene…