Pxform provides 100K semantic-part 3D edit pairs; PartFlow uses them to deliver feedforward 3D editing with improved fidelity and preservation over prior methods.
P3-sam: Native 3d part segmentation
3 Pith papers cite this work. Polarity classification is still indexing.
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S2AM3D combines multi-view 2D priors with 3D contrastive learning and a scale-aware decoder to deliver consistent, granularity-controllable part segmentation on point clouds, supported by a new dataset exceeding 100k samples.
citing papers explorer
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Feedforward 3D Editing Learns from Semantic-Part Transformation
Pxform provides 100K semantic-part 3D edit pairs; PartFlow uses them to deliver feedforward 3D editing with improved fidelity and preservation over prior methods.
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S2AM3D: Scale-controllable Part Segmentation of 3D Point Clouds
S2AM3D combines multi-view 2D priors with 3D contrastive learning and a scale-aware decoder to deliver consistent, granularity-controllable part segmentation on point clouds, supported by a new dataset exceeding 100k samples.
- UnfoldArt: Zero-Shot Recovery of Full Articulated 3D Objects from Text or Image