Deep functional map codebase for 3D shape matching with a 33× faster batched solver, multiple method implementations, and evaluation metrics.

Paper list for equivariant neural network

ML Collections is a library of Python Collections designed for ML use cases.

Lagrangian Neural Networks

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

A simple guide to diffusion models. Helpful in understanding the concept and practicing with the method.

Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab

A Python implementation of global optimization with gaussian processes.

Kernel Point Convolution implemented in PyTorch

Minimal, standalone, fast Python OpenEXR reader for single-part, uncompressed scan-line files as produced by Blender.

PyTorch implementations of Generative Adversarial Networks.

Some simple Blender scripts for rendering paper figures

A curated list of resources on implicit neural representations.

This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

[ICCV 2021] "HPNet: Deep Primitive Segmentation Using Hybrid Representations"

A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"

Build high-quality Laplace matrices on meshes and point clouds in Python. Implements [Sharp & Crane SGP 2020].

A pytorch implementation of: "Unsupervised Deep Learning for Structured Shape Matching"