Author

Xiao-Yu Wu

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#machine learning Preprint Sep 2026

Visualizing Distribution Coverage in Generative Diffusion Models

Diffusion distillation is widely adopted to accelerate sampling, and the resulting few-step models are broadly believed to match or even surpass their multi-step teachers in generation. However, standard evaluations such as GenEval2 typically draw only one sample per prompt, so improved scores may fail to reveal losses...

Yi-Fei Wang, Xiao-Yu Wu, Tsu-Jui Fu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Representation by Design in Generation: Cross-View Class-Token Alignment in Diffusion Transformers

Generative and representation learning remain asymmetrically connected: semantic representations are used to improve diffusion generation, whereas the models'own representations are often treated as a by-product of synthesis. We ask whether diffusion models can instead be trained to learn substantially stronger semanti...

Xiao-Yu Wu, Yi-Fei Wang, Chen Wei · 0 citations