Medical image segmentation foundation models (MedFMs) perform strongly across diverse imaging modalities, but their large size and computational demands hinder deployment in resource-limited clinical settings. Lightweight fine-tuning is impractical given the high training cost of MedFMs, and the efficiency benefits of...
Peng Huang, Ao-Zhong Zhang, Peng-Hang Yin et al.· Medical Image Analysis· 0 citations
With the rise of AI-generated content (AIGC) and advanced techniques for 3D human representation, the task of generating 3D dance movements has become an exciting area of research. Despite significant advancements, current methods often fail to provide comprehensive and distinct control over various multimodal inputs f...
Xu-Long Tang, Kaixing Yang, Xiaohu Guo et al.· 0 citations
This work proposes a decompose-before-reconstruct approach, which significantly improves mesh fidelity and novel-view synthesis and novel-view synthesis, while supporting object-wise modifiability and interactivity.
Minhas Kamal, Hiranya Garbha Kumar, Mahedi Kamal et al.· 0 citations
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