3 papers
cs.CV2026
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…
cs.CV2026
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…
cs.CV2025
DyCrowd: Towards Dynamic Crowd Reconstruction from a Large-scene Video
Hao Wen, Hongbo Kang, Jian Ma +5
3D reconstruction of dynamic crowds in large scenes has become increasingly important for applications such as city surveillance and crowd analysis. However, current works attempt…