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Update README.md
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xxlong0 authored May 30, 2024
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Expand Up @@ -11,6 +11,7 @@ Wonder3D reconstructs highly-detailed textured meshes from a single-view image i
- Fixed a severe training bug. The "zero_init_camera_projection" in 'configs/train/stage1-mix-6views-lvis.yaml' should be False. Otherwise, the domain control and pose control will be invalid in the training.
- 2024.03.19 Checkout our new model [GeoWizard](https://github.com/fuxiao0719/GeoWizard) that jointly produces depth and normal with high fidelity from single images.
- 2024.05.24 We release a large 3D native diffusion model [CraftsMan3D](https://github.com/wyysf-98/CraftsMan) that is directly trained on 3D representation and therefore is capable of producing complex structures.
- 2024.05.29 We release a more powerful MV cross-domain diffusion model [Era3D](https://github.com/pengHTYX/Era3D) that jointly produces 512x512 color images and normal maps, but more importantly Era3D could automatically figure out the focal length and elevation degree of the input image so that avoid geometry distortions.

## Usage
```bash
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