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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…
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…
VirtualModel: Generating Object-ID-retentive Human-object Interaction Image by Diffusion Model for E-commerce Marketing
Binghui Chen, Chongyang Zhong, Wangmeng Xiang +2
Due to the significant advances in large-scale text-to-image generation by diffusion model (DM), controllable human image generation has been attracting much attention recently. Ex…
Strictly-ID-Preserved and Controllable Accessory Advertising Image Generation
Youze Xue, Binghui Chen, Yifeng Geng +3
Customized generative text-to-image models have the ability to produce images that closely resemble a given subject. However, in the context of generating advertising images for e-…
ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model
Binghui Chen, Wenyu Li, Yifeng Geng +2
With the development of the large-scale diffusion model, Artificial Intelligence Generated Content (AIGC) techniques are popular recently. However, how to truly make it serve our d…