https://github.com/nikolazubic/2dimageto3dmodel
We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
https://github.com/nikolazubic/2dimageto3dmodel
3d-computer-graphics 3d-reconstruction computer-graphics computer-vision cub-dataset deep-learning gan kaolin loss-functions mesh neural-networks pascal3d point-cloud pose-prediction pytorch rendering shapenet shapenet-dataset single-view-reconstruction voxel
Last synced: 4 months ago
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We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
- Host: GitHub
- URL: https://github.com/nikolazubic/2dimageto3dmodel
- Owner: NikolaZubic
- Created: 2020-12-14T21:14:13.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2024-03-04T12:17:23.000Z (about 2 years ago)
- Last Synced: 2024-03-04T13:36:48.814Z (about 2 years ago)
- Topics: 3d-computer-graphics, 3d-reconstruction, computer-graphics, computer-vision, cub-dataset, deep-learning, gan, kaolin, loss-functions, mesh, neural-networks, pascal3d, point-cloud, pose-prediction, pytorch, rendering, shapenet, shapenet-dataset, single-view-reconstruction, voxel
- Language: Python
- Homepage:
- Size: 178 MB
- Stars: 264
- Watchers: 7
- Forks: 26
- Open Issues: 4
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Metadata Files:
- Readme: README.md