16 citations · 35 across the 10 of their papers we have counts for
17 papers · 1 filter
TOPOS: High-Fidelity and Efficient Industry-Grade 3D Head Generation
Bojun Xiong, Zoubin Bi, Xinghui Peng +6
High-fidelity 3D head generation plays a crucial role in the film, animation and video game industries. In industrial pipelines, studios typically enforce a fixed reference topolog…
High-Fidelity Single-Image Head Modeling with Industry-Grade Topology
Yunmu Wang, Zoubin Bi, Bowen Cai +6
We present a single-image head mesh reconstruction framework that addresses the longstanding challenge of simultaneously preserving facial identity and producing industry-grade top…
PerformRecast: Expression and Head Pose Disentanglement for Portrait Video Editing
Jiadong Liang, Bojun Xiong, Jie Tian +4
This paper primarily investigates the task of expression-only portrait video performance editing based on a driving video, which plays a crucial role in animation and film industri…
Skeleton2Stage: Reward-Guided Fine-Tuning for Physically Plausible Dance Generation
Jidong Jia, Youjian Zhang, Huan Fu +1
Despite advances in dance generation, most methods are trained in the skeletal domain and ignore mesh-level physical constraints. As a result, motions that look plausible as joint…
Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering
Dongting Hu, Zhenkai Zhang, Tingbo Hou +3
The rendering scheme in neural radiance field (NeRF) is effective in rendering a pixel by casting a ray into the scene. However, NeRF yields blurred rendering results when the trai…
NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction
Bowen Cai, Jinchi Huang, Rongfei Jia +2
This paper studies implicit surface reconstruction leveraging differentiable ray casting. Previous works such as IDR and NeuS overlook the spatial context in 3D space when predicti…