7 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…
ContextMaster: Interactive Multi-Shot Video Creation via Fixed-Budget Sparse Context Routing
Xu Guo, Zhengxuan Wei, Xinghui Li +11
Recent video models increasingly support generation, reference conditioning, and editing within a single model, yet typically expose them as separate operations over fixed inputs.…
Geometry-Aware Implicit Memory for Video World Models
Zhengxuan Wei, Xu Guo, Xinghui Li +8
Video world models aim to simulate controllable visual environments, but long-horizon rollouts depend on what the model remembers after observations leave its native context window…
Towards 3D-Aware Video Diffusion Models: Render-Free Human Motion Control with Mesh Tokenization
Jingyun Liang, Min Wei, Shikai Li +5
Diffusion models have shown remarkable success in video generation. However, whether such models are truly aware of the 3D structure underlying visual observations, rather than sim…
GOGS: High-Fidelity Geometry and Relighting for Glossy Objects via Gaussian Surfels
Xingyuan Yang, Min Wei
Inverse rendering of glossy objects from RGB imagery remains fundamentally limited by inherent ambiguity. Although NeRF-based methods achieve high-fidelity reconstruction via dense…
3DV-TON: Textured 3D-Guided Consistent Video Try-on via Diffusion Models
Min Wei, Chaohui Yu, Jingkai Zhou +1
Video try-on replaces clothing in videos with target garments. Existing methods struggle to generate high-quality and temporally consistent results when handling complex clothing p…