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A python module for scientific analysis of 3D data based on VTK and Numpy

Grounding Image Matching in 3D with MASt3R

Lightweight Python framework that provides a high-level API for creating and rendering scenes with Blender.

Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.

Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis

Rotation-Invariant Transformer for Point Cloud Matching

Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features [CVPR 2024]

SIGGRAPH23: Unsupervised Learning of Robust Spectral Shape Matching

CVPR 2024, Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching

PyTorch common framework to accelerate network implementation, training and validation

Accompanying code for "An Elastic Basis for Spectral Shape Correspondence"