3d-shapes

Latent shapes

A collection of 3D shapes generated from latent factors to assess unsupervised learning methods

This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.

GitHub

135 stars
9 watching
31 forks
Language: Jupyter Notebook
last commit: 10 months ago

Related projects:

Repository Description Stars
subeeshvasu/awsome_deep_geometry_learning A curated list of resources and papers on deep learning solutions for processing 3D shapes 346
google-research/visu3d An abstraction layer between various deep learning frameworks and your program. 149
google-deepmind/meltingpot Assesses generalization of multi-agent reinforcement learning algorithms to novel social situations 637
google-deepmind/arnheim A toolkit for generating collage images using neural networks and optimization algorithms 235
zhou13/shapeunity Develops a method to reconstruct 3D wireframe models from a single image using deep learning 70
matanatz/sal A deep learning approach to learn implicit shape representations from raw geometric data. 90
j-f-liu/geom3d A collection of data structures and algorithms for 3D geometric modeling 38
google-deepmind/tree A library for working with nested data structures in Python 948
google-deepmind/tapnet A deep learning project for tracking points in video sequences 1,340
sentinal4d/cellshape Analyzes 3D cell shape features using deep learning for cancer research 21
google-deepmind/functa A repository containing code for a meta-learning experiment on image datasets 150
threedle/text2mesh Generates 3D meshes based on text inputs using neural networks and differentiable rendering 936
google-deepmind/einshape A unified reshaping library for JAX and other frameworks. 100
magnet-dl/magnet An API that simplifies the development of deep learning architectures by providing a high-level abstraction around PyTorch. 360
google-deepmind/jraph A lightweight library for working with graph neural networks in jax. 1,380