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3d-machine-learning

A resource repository for 3D machine learning

3d_cnn

awesome-3d-gaussian-splatting

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

awesome-nerf

A curated list of awesome neural radiance fields papers

awesome-point-cloud-registration

A curated list of point cloud registration.

class-activation-map

d-sne

d-sne-pytorch

A PyTorch port of the existing MXNet implementation for the 2019 CVPR paper "d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding."

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepsdf

Learning Continuous Signed Distance Functions for Shape Representation

deepsdf_

An implementation of implicit representation, Signed Distance Function (SDF) representation

domain-adaptation

fastdiffusion

Notes and plans for fastdiffusion course

generative_model

~tf 2.X generative model implementation

graph-convolution-networks_tf2

huggingface

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

marching-cubes

Implementation of the Marching Cubes algorithm on Python.

marigold

[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

mesh2sdf

Converts an input mesh to a signed distance field (SDF)

pgnn

Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling

pymcubes

Marching cubes (and related tools) for Python

pyntcloud

python-isosurface-notebooks

Python implementations of iso surface algorithms. Nicely laid out in jupyter notebooks. Meant for processing .nii files. Implemented algorithms are: Marching Cubes, Marching Tetrahedra and non functional Dual Contouring.

reinforcement-learning-algorithms-with-python

Reinforcement Learning Algorithms with Python, Published by Packt

stable-dreamfusion

Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

topodiff

Code, technical details and links to datasets and trained models for TopoDiff