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cs.CV2026
PDMD: Projected Distribution Matching Distillation for Video Diffusion Models
Zimo Wang, Junkun Yuan, Angtian Wang +9
Modern video diffusion models require tens of denoising evaluations over long spatiotemporal token sequences. Distribution Matching Distillation (DMD) reduces the number of functio…
cs.CV2026
Follow-Your-Preference++: Rethinking Preference Alignment for Image Inpainting
Junkun Yuan, Yutao Shen, Toru Aonishi +2
We study preference alignment for image inpainting. Rather than proposing yet another method, we revisit the problem from first principles and reassess its core challenges. We adop…