HUG trains a flow-matching model on a new 1M-frame egocentric human grasp dataset to generate retargetable grasps from single RGB-D images, beating baselines by 23-34% on a new 90-object benchmark.
Royal Society Open Science9, 8 (2022)
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QuadLink generates anisotropic quad-dominant meshes from point clouds via anchor prediction, centroid-conditioned linking, and quad-first assembly, supporting hybrid n-gon topology.
SATO generates artist-quality meshes by ordering tokens as triangle-strip chains that encode UV boundaries, enabling unified triangle/quad outputs and outperforming prior methods in quality and coherence.
citing papers explorer
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Human Universal Grasping
HUG trains a flow-matching model on a new 1M-frame egocentric human grasp dataset to generate retargetable grasps from single RGB-D images, beating baselines by 23-34% on a new 90-object benchmark.
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QuadLink: Autoregressive Quad-Dominant Mesh Generation via Point-Relation Learning
QuadLink generates anisotropic quad-dominant meshes from point clouds via anchor prediction, centroid-conditioned linking, and quad-first assembly, supporting hybrid n-gon topology.
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Strips as Tokens: Artist Mesh Generation with Native UV Segmentation
SATO generates artist-quality meshes by ordering tokens as triangle-strip chains that encode UV boundaries, enabling unified triangle/quad outputs and outperforming prior methods in quality and coherence.