3 papers
cs.CV2026
Advanced Pixel Diffusion Model with Guided Sparse Global Refinement
Weiyi You, Jinhua Zhang, Xingyu Zhou +3
Pixel-space diffusion has recently emerged as a promising direction for high-fidelity image generation by modeling images directly in the original pixel domain. However, pixel-spac…
cs.CV2026
Taming Sampling Perturbations with Variance Expansion Loss for Latent Diffusion Models
Qifan Li, Xingyu Zhou, Jinhua Zhang +2
Latent diffusion models have emerged as the dominant framework for high-fidelity and efficient image generation, owing to their ability to learn diffusion processes in compact late…
cs.CV2025
Guiding a Diffusion Transformer with the Internal Dynamics of Itself
Xingyu Zhou, Qifan Li, Xiaobin Hu +2
The diffusion model presents a powerful ability to capture the entire (conditional) data distribution. However, due to the lack of sufficient training and data to learn to cover lo…