4 papers · 1 filter
PARSE: Part-Aware Relational Spatial Modeling
Yinuo Bai, Peijun Xu, Kuixiang Shao +5
Inter-object relations underpin spatial intelligence, yet existing representations -- linguistic prepositions or object-level scene graphs -- are too coarse to specify which region…
XDen-1K: A Density Field Dataset of Real-World Objects
Jingxuan Zhang, Tianqi Yu, Yatu Zhang +6
A deep understanding of the physical world is essential for robotic manipulation and physically realistic simulation. While current methods, including VLM-based and other learning-…
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…
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…