Garment Particles is a 5D point cloud representation jointly encoding 2D sewing patterns and 3D geometry, supporting rectified flow generation from high-level inputs and diffusion-based editing of patterns or shapes.
Build-to-last: Strength to weight 3d printed objects
4 Pith papers cite this work. Polarity classification is still indexing.
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GenMF refines generated 3D meshes to encode appearance cues as geometry for monochromatic fabrication while minimizing fabrication stress.
Skelebones compresses 4D Gaussian shapes into compact, controllable bones and skeletons, delivering 17.3% PSNR gains over LBS and 21.7% over BoB for unseen poses while preserving reconstruction quality.
Method for generating minimum-weight structurally robust shell objects from 3D models using Laplacian parametrization to ensure intersection-free inner boundaries during stress-based thickness optimization.
citing papers explorer
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Garment Particles: A 2D--3D Symmetric Garment Representation for Generation and Editing
Garment Particles is a 5D point cloud representation jointly encoding 2D sewing patterns and 3D geometry, supporting rectified flow generation from high-level inputs and diffusion-based editing of patterns or shapes.
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Appearance-Preserving Refinement of Generated 3D Assets for Monochromatic Fabrication
GenMF refines generated 3D meshes to encode appearance cues as geometry for monochromatic fabrication while minimizing fabrication stress.
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GaussiAnimate: Reconstruct and Rig Animatable Categories with Level of Dynamics
Skelebones compresses 4D Gaussian shapes into compact, controllable bones and skeletons, delivering 17.3% PSNR gains over LBS and 21.7% over BoB for unseen poses while preserving reconstruction quality.