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cs.CV2026
Purify Before You Align: Improving Representation Alignment for Diffusion Models
Yingheng Wang, Yaoqiang Li, Yaqin Wu +4
Representation alignment improves and accelerates diffusion training by encouraging intermediate features to match a pretrained visual encoder. However, standard alignment matches…
cs.CV2023★ 2 cited
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images
Aaron Gokaslan, A. Feder Cooper, Jasmine Collins +6
We assemble a dataset of Creative-Commons-licensed (CC) images, which we use to train a set of open diffusion models that are qualitatively competitive with Stable Diffusion 2 (SD2…