Author

Chen Chen

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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

Preprint Aug 2026

UniWorld-Design: From Pixel Generation to Layer-Native Design

We introduce UniWorld-Design, a framework that redefines image generation from flat pixel synthesis to structured visual composition, with semantic RGBA layers as the atomic units of generation, understanding, and editing. Our key insight is that pixels define how an image is rendered, whereas layers define how an imag...

Zongjian Li, Zhi-Yuan Yan, Chenxu Bai et al. · 0 citations