3 papers
cs.CV2025
AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation
Junjie He, Yuxiang Tuo, Binghui Chen +3
Recently, large-scale generative models have demonstrated outstanding text-to-image generation capabilities. However, generating high-fidelity personalized images with specific sub…
cs.CV2024
AdaptiveDrag: Semantic-Driven Dragging on Diffusion-Based Image Editing
DuoSheng Chen, Binghui Chen, Yifeng Geng +1
Recently, several point-based image editing methods (e.g., DragDiffusion, FreeDrag, DragNoise) have emerged, yielding precise and high-quality results based on user instructions. H…
cs.CV2024
AnyText2: Visual Text Generation and Editing With Customizable Attributes
Yuxiang Tuo, Yifeng Geng, Liefeng Bo
As the text-to-image (T2I) domain progresses, generating text that seamlessly integrates with visual content has garnered significant attention. However, even with accurate text ge…