6 papers
Sissi: Zero-shot Style-guided Image Synthesis via Semantic-style Integration
Yingying Deng, Xiangyu He, Fan Tang +2
Text-guided image generation has advanced rapidly with large-scale diffusion models, yet achieving precise stylization with visual exemplars remains difficult. Existing approaches…
Inversion-Free Style Transfer with Dual Rectified Flows
Yingying Deng, Xiangyu He, Fan Tang +2
Style transfer, a pivotal task in image processing, synthesizes visually compelling images by seamlessly blending realistic content with artistic styles, enabling applications in p…
Multi-turn Consistent Image Editing
Zijun Zhou, Yingying Deng, Xiangyu He +2
Many real-world applications, such as interactive photo retouching, artistic content creation, and product design, require flexible and iterative image editing. However, existing i…
Z-Magic: Zero-shot Multiple Attributes Guided Image Creator
Yingying Deng, Xiangyu He, Fan Tang +1
The customization of multiple attributes has gained popularity with the rising demand for personalized content creation. Despite promising empirical results, the contextual coheren…
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
Yingying Deng, Xiangyu He, Changwang Mei +2
Though Rectified Flows (ReFlows) with distillation offers a promising way for fast sampling, its fast inversion transforms images back to structured noise for recovery and followin…
Z-STAR+: A Zero-shot Style Transfer Method via Adjusting Style Distribution
Yingying Deng, Xiangyu He, Fan Tang +1
Style transfer presents a significant challenge, primarily centered on identifying an appropriate style representation. Conventional methods employ style loss, derived from second-…