DINOv22 min read
PixelDense: Dense Prediction as Representation Alignment for Pixel Diffusion
Representation alignment (REPA) accelerates diffusion transformer training, but its alignment targets are almost exclusively semantic encoders such as DINOv2 and CLIP.
By Lehan Yang, Daiqing Qi, Wenhao Zhang, Avery Li, Yiqing Yang, Yifan Li, Yu Kong, Haitian Zheng, Zhifei Zhang, Zhe Lin, Varun Jampani, Sheng LiarXiv - cs.CV (CV)
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Originally published by arXiv - cs.CV (CV) on Oct 2, 2026.
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