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.
Generate 3D shapes from simple outlines using a learning model that understands surface structures.
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Free · no card · unsubscribe anytimeThis 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.
AtlasNet has 724 stars on GitHub. It has been forked 122 times. AtlasNet is written mainly in Python. It has been in active development since 2018. AtlasNet is available under the MIT license. Its main topics are 3d, 3d-deep-learning, computer-vision, cvpr2018.
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.
AtlasNet is an open-source project. It is released under the MIT license.
Yes. AtlasNet is free and open source — you can use, modify and self-host it.
AtlasNet is available under the MIT license.
AtlasNet is written mainly in Python.
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