3 papers
cs.CV2026
SafeStyle: Calibrated Style Residual Injection for Controllable Style-Leakage Trade-off in Diffusion Stylization
Zhangping Yang, Min Li, Song Yan +4
Reference-guided diffusion stylization aims to transfer visual style from a reference image while preserving the semantics specified by a text prompt. However, image conditioning o…
cs.CV2025
Determinism of Randomness: Prompt-Residual Seed Shaping for Diffusion Generation
Song Yan, Wei Zhai, Chenfeng Wang +9
Diffusion models start generation from an isotropic Gaussian latent, yet changing only the random seed can lead to large differences in prompt faithfulness, composition, and visual…
cs.CV2025
Break Stylistic Sophon: Are We Really Meant to Confine the Imagination in Style Transfer?
Gary Song Yan, Yusen Zhang, Jinyu Zhao +9
In this pioneering study, we introduce StyleWallfacer, a groundbreaking unified training and inference framework, which not only addresses various issues encountered in the style t…