3 citations · 7 across the 10 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.CV2026
Compress to Remember: Learning Compact Memory via On-Policy Distillation for Long Video Generation
Xiaoyu Wu, Weihang Guo, Yifei Wang +3
Standard video generators do not natively compact historical context into reusable memory tokens. As generation continues, the growing history makes it increasingly difficult to re…
cs.CV2026
Representation by Design in Generation: Cross-View Class-Token Alignment in Diffusion Transformers
Xiaoyu Wu, Yifei Wang, Chen Wei
Generative and representation learning remain asymmetrically connected: semantic representations are used to improve diffusion generation, whereas the models' own representations a…
cs.CV2026
Taming Outlier Tokens in Diffusion Transformers
Xiaoyu Wu, Yifei Wang, Tsu-Jui Fu +3
We study outlier tokens in Diffusion Transformers (DiTs) for image generation. Prior work has shown that Vision Transformers (ViTs) can produce a small number of high-norm tokens t…