zeyuren2002/MoGe
MoGe: Accurate Monocular Geometry Estimation MoGe is a powerful model for recovering 3D geometry from monocular open-domain images, including metric point maps, metric depth maps, normal maps and camera FOV. Check our websites (MoGe-1, MoGe-2) for videos and interactive results! 📖 Publications MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details… See the full description on the dataset page: https://huggingface.co/datasets/zeyuren2002/MoGe.
| Author / organization | zeyuren2002 |
|---|---|
| Downloads | 996 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 15 May 2026 |
| Last updated at source | 15 May 2026 |
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996 now (+25 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: MoGe: Accurate Monocular Geometry Estimation MoGe is a powerful model for recovering 3D geometry from monocular open-domain images, including metric point maps, metric depth maps, normal maps and camera FOV. Check our websites (MoGe-1, MoGe → MoGe: Accurate Monocular Geometry Estimation MoGe is a powerful model for recovering 3D geometry from monocular open-domain images, including metric point maps, metric depth maps, normal maps and camera FOV. Check our websites (MoGe-1, MoGe
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