# ThibaultGROUEIX/AtlasNet

<https://repo.masters-masters.com/en/repos/ThibaultGROUEIX/AtlasNet>

[Home](https://repo.masters-masters.com/en) › [ThibaultGROUEIX](https://repo.masters-masters.com/en/owners/ThibaultGROUEIX) › [AtlasNet](https://repo.masters-masters.com/en/repos/ThibaultGROUEIX/AtlasNet)

ThibaultGROUEIX/AtlasNet has 724 stars on GitHub. Its RepoMasters card: Beta tier. This repository contains the source codes for the paper "AtlasNet: A…

| Field | Value |
| --- | --- |
| Owner | [ThibaultGROUEIX](https://repo.masters-masters.com/en/owners/ThibaultGROUEIX) |
| Stars | 724 |
| Forks | 121 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | 3d, 3d-deep-learning, computer-vision, geometry-processing, cvpr2018, pytorch |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [ThibaultGROUEIX/AtlasNet](https://github.com/ThibaultGROUEIX/AtlasNet) |

## Repository

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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