Author

Aiming Hao

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Preprint Aug 2026

An Empirical Study of Training Pixel-Space Text-to-Image Diffusion Models

This paper investigates an increasingly important topic in generative modeling: pixel-space diffusion models. Although numerous studies have explored this topic, most focus on small-scale or class-conditional settings. Consequently, a practical recipe for training pixel-space models that rival or exceed well-establishe...

Deng-Yang Jiang, Ruoyi Du, Zhen-Nan Chen et al. · 3 citations

Jul 2026

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation

PhyParam is presented, a physics-guided image-to-video diffusion model that conditions on object-level forces, masses, friction, restitution, and scene-level gravity via a lightweight physical-attention routing mechanism, and further improves motion learning with semantic-structural feature-space supervision.

Yan-Xun Li, Hao Wen, Bingze Song et al. · arXiv.org · 0 citations