| --- |
| license: cc-by-nc-4.0 |
| base_model: Depth-Anything/Depth-Anything-3 |
| tags: |
| - 3d-reconstruction |
| - visual-slam |
| - pose-estimation |
| - depth-estimation |
| - computer-vision |
| --- |
| |
| # R³: 3D Reconstruction via Relative Regression |
|
|
| ## Model Description |
|
|
| R³ is a feed-forward model for long-video 3D reconstruction via confidence-weighted relative pose regression. |
|
|
| Built on top of the Depth Anything 3 (DA3) backbone, R³ predicts pairwise relative camera poses and dense geometry from arbitrarily long video streams. Instead of directly regressing all cameras in a global coordinate frame, R³ estimates confidence-weighted relative transformations between image pairs and assembles a globally consistent trajectory downstream. |
|
|
| With approximately 372M parameters, R³ achieves competitive or state-of-the-art performance on camera pose estimation and dense reconstruction benchmarks while remaining significantly smaller than recent billion-parameter alternatives. |
|
|
| ## License |
|
|
| This model is a derivative work based on the Depth Anything 3 (DA3) model. |
|
|
| The original DA3 model is released under the CC BY-NC 4.0 license. Accordingly, this model is also distributed under the CC BY-NC 4.0 license and may only be used in accordance with the terms of that license. |
|
|
| Commercial use is not permitted without obtaining appropriate permissions from the original rights holders. |
|
|
| ## Model Details |
|
|
| - **Model Type:** 3D Reconstruction / Visual Localization |
| - **Backbone:** Depth Anything 3 (DA3) |
| - **Parameters:** ~372M |
| - **Task:** Relative Pose Regression and Dense 3D Reconstruction |
|
|
| ## Citation |
|
|
| If you use this model in your research, please cite the R³ paper. |
|
|
| ```bibtex |
| @misc{xu2026r3, |
| title={$R^3$: 3D Reconstruction via Relative Regression}, |
| author={Congrong Xu and Huachen Gao and Xingyu Chen and Yuliang Xiu and Jun Gao and Anpei Chen}, |
| year={2026}, |
| } |
| ``` |
