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cs.CV2026
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…
cs.CV2026
Alpha as an Efficiency Signal: Visibility-Routed RGBA Image-to-Video Generation
Zhe Li, Honghao Qiao, Zhixin Xu +3
RGBA videos combine RGB appearance with an alpha channel, enabling animated assets to be applied across arbitrary backgrounds, which are heavily used in gaming industry. However, g…
cs.CV2026
3DThinkVLA: Endowing Vision-Language-Action Models with Latent 3D Priors via 3D-Thinking-Guided Co-training
Jiaxin Shi, Xidong Zhang, Fucai Zhu +3
We propose a 3D-thinking-guided co-training framework that enables vision-language-action (VLA) models to perform 3D spatial reasoning implicitly during action prediction. Our core…