3 papers
cs.CV2026
The Quest for Generalizable Motion Generation: Data, Model, and Evaluation
Jing Lin, Ruisi Wang, Junzhe Lu +10
Despite recent advances in 3D human motion generation (MoGen) on standard benchmarks, existing text-to-motion models still face a fundamental bottleneck in their generalization cap…
cs.AI2026
UniMo: Unified Motion Generation and Understanding with Chain of Thought
Guocun Wang, Kenkun Liu, Jing Lin +3
Existing 3D human motion generation and understanding methods often exhibit limited interpretability, restricting effective mutual enhancement between these inherently related task…
cs.CV2025
Towards Fine-Grained Human Motion Video Captioning
Guorui Song, Guocun Wang, Zhe Huang +4
Generating accurate descriptions of human actions in videos remains a challenging task for video captioning models. Existing approaches often struggle to capture fine-grained motio…