175 citations · 434 across the 21 of their papers we have counts for
5 papers · 1 filter
CleanMDM: Clean Motion Diffusion Model for Multimodal Motion Cleanup
Zhe Li, Shicheng Wang, Bowen Cai +1
Motion capture data is rarely directly usable, as they typically exhibit missing segments, jitter, drift and contact artifacts. Traditionally, corrupted motions are cleaned by anim…
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…