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
Inspired by the workflows of expert choreographers, CustomDance introduces a novel paradigm to AI-assisted choreography through three interconnected stages that highlights the significant creative utility and empowering potential of the authors' AI-assisted choreography paradigm, but also outperforms competitive baseli...
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
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.