8 papers
B2N3D: Progressive Learning from Binary to N-ary Relationships for 3D Object Grounding
Feng Xiao, Hongbin Xu, Hai Ci +1
Localizing 3D objects using natural language is essential for robotic scene understanding. The descriptions often involve multiple spatial relationships to distinguish similar obje…
LSVG: Language-Guided Scene Graphs with 2D-Assisted Multi-Modal Encoding for 3D Visual Grounding
Feng Xiao, Hongbin Xu, Guocan Zhao +1
3D visual grounding aims to localize the unique target described by natural languages in 3D scenes. The significant gap between 3D and language modalities makes it a notable challe…
GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes
Feng Xiao, Hongbin Xu, Wanlin Liang +1
The semantic synthesis of unseen scenes from multiple viewpoints is crucial for research in 3D scene understanding. Current methods are capable of rendering novel-view images and s…
PhysMamba: State Space Duality Model for Remote Physiological Measurement
Zhixin Yan, Yan Zhong, Hongbin Xu +4
Remote Photoplethysmography (rPPG) enables non-contact physiological signal extraction from facial videos, offering applications in psychological state analysis, medical assistance…
4DStyleGaussian: Zero-shot 4D Style Transfer with Gaussian Splatting
Wanlin Liang, Hongbin Xu, Weitao Chen +2
3D neural style transfer has gained significant attention for its potential to provide user-friendly stylization with spatial consistency. However, existing 3D style transfer metho…
ControLRM: Fast and Controllable 3D Generation via Large Reconstruction Model
Hongbin Xu, Weitao Chen, Zhipeng Zhou +4
Despite recent advancements in 3D generation methods, achieving controllability still remains a challenging issue. Current approaches utilizing score-distillation sampling are hind…