SegBanana is proposed, to the authors' knowledge, the first agentic visual generation framework for training-free medical image segmentation and builds on a frozen UMM as the core generative model, augmented with Anatomy-Aware Knowledge Retrieval and Comparative Quality Critique to unlock its potential segmentation cap...
Xiao-Ye Liang, Ye Yan, Ming-Ze Yin et al.· 0 citations
UniVVT is presented, a unified end-to-end framework that reframes VVT as semantically conditioned video generation, eliminating mask, pose, and warping modules at inference and validating implicit semantic guidance as a simple and effective alternative to fragile geometric preprocessing for end-to-end virtual try-on.
Yu-She Cao, Shikun Feng, Fei Shen et al.· 0 citations
Experiments demonstrate that the MultiCube method can generate high-quality compositional 3D objects with precise part-level control, including those with unique layouts difficult to achieve with text or image prompting alone.
Ava Pun, Kang-Le Deng, Yi-Heng Zhu et al.· 0 citations
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