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Memory Efficient Matting with Adaptive Token Routing
Yiheng Lin, Yihan Hu, Chenyi Zhang +5
Transformer-based models have recently achieved outstanding performance in image matting. However, their application to high-resolution images remains challenging due to the quadra…
Draw Like an Artist: Complex Scene Generation with Diffusion Model via Composition, Painting, and Retouching
Minghao Liu, Le Zhang, Yingjie Tian +3
Recent advances in text-to-image diffusion models have demonstrated impressive capabilities in image quality. However, complex scene generation remains relatively unexplored, and e…
Rethinking Video Segmentation with Masked Video Consistency: Did the Model Learn as Intended?
Chen Liang, Qiang Guo, Xiaochao Qu +2
Video segmentation aims at partitioning video sequences into meaningful segments based on objects or regions of interest within frames. Current video segmentation models are often…
TextMastero: Mastering High-Quality Scene Text Editing in Diverse Languages and Styles
Tong Wang, Xiaochao Qu, Ting Liu
Scene text editing aims to modify texts on images while maintaining the style of newly generated text similar to the original. Given an image, a target area, and target text, the t…
SAM-REF: Introducing Image-Prompt Synergy during Interaction for Detail Enhancement in the Segment Anything Model
Chongkai Yu, Ting Liu, Anqi Li +4
Interactive segmentation is to segment the mask of the target object according to the user's interactive prompts. There are two mainstream strategies: early fusion and late fusion.…
MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation
Xujie Zhang, Ente Lin, Michael Kampffmeyer +6
This paper introduces MMTryon, a multi-modal multi-reference VIrtual Try-ON (VITON) framework, which can generate high-quality compositional try-on results by taking a text instruc…