Author

Chen Wei

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Preprint Sep 2026

FuseReg: Regularizing Layer Fusion Mitigates the Reconstruction-Generation Gap in Representation Autoencoders

Representation autoencoders (RAEs) reuse features from a pretrained visual encoder as reconstruction and diffusion latents, integrating strong visual representations into image generation. However, RAEs still need to decide which encoder layers form the shared latent space for the generator and pixel decoder. This choi...

Hong-Yang Du, Yun-Fei Xie, Jun-Jie Ye et al. · 0 citations

#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