ThibaultGROUEIX/AtlasNet

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.

724 120 +0/wk

GitHub

3d 3d-deep-learning computer-vision cvpr2018 geometry-processing pytorch

Trend 0

Star & Fork Trend (19 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 724

forks 120

Growth Velocity

ThibaultGROUEIX/AtlasNet has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	AtlasNet	Awesome-CVPR-Paper	Octopii	YOLOv8-TensorRT-CPP
Stars	724	724	726	721
Forks	120	114	63	84
Weekly Growth	+0	+0	+0	+0
Language	Python	N/A	Python	C++
Sources	1	1	1	1
License	MIT	N/A	NOASSERTION	MIT

Capability Radar vs Awesome-CVPR-Paper

AtlasNet

Awesome-CVPR-Paper

Maintenance Activity 0

Last code push 1261 days ago.

Community Engagement 83

Fork-to-star ratio: 16.6%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.