8 papers
TGRHuman: Text-Guided Realistic 3D Human Generation via Diffusion Renderer
Muxin Zhang, Chaohui Yu, Yuanwang Yang +3
Realistic 3D human generation plays a crucial role in many graphics applications. However, current methods still struggle to generate high-quality human geometry and texture while…
A 3D Isovist World Model -- Revealing a City's Unseen Geometry and Its Emergent Cross-City Signature
Xuhui Lin, Stephen Law, Nanjiang Chen +2
Embodied agents that navigate cities rely on world models that predict how their surroundings will change as they move. But for navigation, what matters is not what the buildings l…
IMPose: Interactive Multi-person Pose Estimation with Dynamic Correction Propagation
Haoyang Ge, Jian Ma, Ziwen Wang +5
High-quality dynamic human pose annotation equips AI with precise motion kinematics to enable human behavior mastery, yet remains labor-intensive and time-consuming. Current annota…
Stability-Driven Motion Generation for Object-Guided Human-Human Co-Manipulation
Jiahao Xu, Xiaohan Yuan, Xingchen Wu +3
Co-manipulation requires multiple humans to synchronize their motions with a shared object while ensuring reasonable interactions, maintaining natural poses, and preserving stable…
Contrastive Multi-Modal Hypergraph Reasoning for 3D Crowd Mesh Recovery
Minghao Sun, Chongyang Xu, Yitao Xie +2
Multi-person 3D reconstruction is pivotal for real-world interaction analysis, yet remains challenging due to severe occlusions and depth ambiguity. Current approaches typically re…
OAHuman: Occlusion-Aware 3D Human Reconstruction from Monocular Images
Yuanwang Yang, Hongliang Liu, Muxin Zhang +4
Monocular 3D human reconstruction in real-world scenarios remains highly challenging due to frequent occlusions from surrounding objects, people, or image truncation. Such occlusio…