2 papers
cs.CV2026
Uncertainty DMD: Restoring Diversity in Few-Step Autoregressive Video Distillation
Zixuan Duan, Xunzhi Xiang, Yabo Chen +6
Few-step distillation improves the efficiency of autoregressive (AR) video generation, but often causes diversity collapse: under the same prompt, different noise samples tend to p…
cs.CV2026
Prompt-Free Universal Region Proposal Network
Qihong Tang, Changhan Liu, Shaofeng Zhang +3
Identifying potential objects is critical for object recognition and analysis across various computer vision applications. Existing methods typically localize potential objects by…