254 citations · 275 across the 16 of their papers we have counts for
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UMO: Unified In-Context Learning Unlocks Motion Foundation Model Priors
Xiaoyan Cong, Zekun Li, Zhiyang Dou +9
Large-scale foundation models (LFMs) have recently made impressive progress in text-to-motion generation by learning strong generative priors from massive 3D human motion datasets…
NGL: Natural Garment Language for Training-Free Sewing Pattern Estimation
Anna Badalyan, Pratheba Selvaraju, Giorgio Becherini +3
Estimating sewing patterns from images is a practical approach for creating high-quality 3D garments, but it remains challenging due to the scarcity of paired real-world image and…
FUSION: Full-Body Unified Motion Prior for Body and Hands via Diffusion
Enes Duran, Nikos Athanasiou, Muhammed Kocabas +2
Hands are central to interacting with our surroundings and conveying gestures, making their inclusion essential for full-body motion synthesis. Despite this, existing human motion…