3 papers
cs.CV2026
OpenT2M: No-frill Motion Generation with Open-source,Large-scale, High-quality Data
Bin Cao, Sipeng Zheng, Hao Luo +3
Text-to-motion (T2M) generation aims to create realistic human movements from text descriptions, with promising applications in animation and robotics. Despite recent progress, cur…
cs.CV2025
Being-M0.5: A Real-Time Controllable Vision-Language-Motion Model
Bin Cao, Sipeng Zheng, Ye Wang +5
Human motion generation has emerged as a critical technology with transformative potential for real-world applications. However, existing vision-language-motion models (VLMMs) face…
cs.CV2024
SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model
Bin Cao, Jianhao Yuan, Yexin Liu +4
In the rapidly evolving area of image synthesis, a serious challenge is the presence of complex artifacts that compromise perceptual realism of synthetic images. To alleviate artif…