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cs.CV2026
Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis
Xiang Gao, Yunpeng Jia
Visual anagram is an intriguing form of art creation wherein a single image presents different conceptual interpretations under transformations such as flipping or rotation. Recent…
cs.CV2026
TEASR: Training-Efficient Any-Step Diffusion Transformer for Real-World Image Super-Resolution
Xiang Gao, Chenxin Zhu, Yushun Fang +2
Diffusion models excel in Real-World Image Super-Resolution (Real-ISR) due to their powerful generative priors but suffer from slow iterative sampling. Although existing one-step d…
cs.CV2026
FBSDiff++: Improved Frequency Band Substitution of Diffusion Features for Efficient and Highly Controllable Text-Driven Image-to-Image Translation
Xiang Gao, Yunpeng Jia
With large-scale text-to-image (T2I) diffusion models achieving significant advancements in open-domain image creation, increasing attention has been focused on their natural exten…