File size: 2,874 Bytes
24dfc06 3ba2ef3 24dfc06 5197039 24dfc06 3ba2ef3 24dfc06 5197039 24dfc06 5197039 24dfc06 3ba2ef3 24dfc06 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | ---
license: cc-by-nc-sa-4.0
tags:
- 3d-reconstruction
- stereo
- interactive
- 3d
- computer-vision
- neurips
- neurips2026
datasets:
- uva-cv-lab/Hard3DBench
library_name: pytorch
pipeline_tag: image-to-3d
---
## Click3R: Interactive Stereo 3D Reconstruction with Sparse Correspondence Clicks
[](https://uva-computer-vision-lab.github.io/click3r)
[](https://huggingface.co/spaces/uva-cv-lab/Click3R)
[](https://huggingface.co/datasets/uva-cv-lab/Hard3DBench)
[](https://github.com/UVA-Computer-Vision-Lab/click3r)
Click3R is a framework for interactive geometric correction of feed-forward models using sparse human correspondence clicks. Given an image pair and a small set of cross-view point correspondences provided by a user, Click3R injects geometric constraints into the 3D reconstruction networks through a lightweight point correspondence adapter, enabling the model to resolve ambiguities in challenging scenarios such as repetitive textures, symmetric structures, large viewpoint changes, or textureless regions.
## Model Zoo
| Model | Description | Link |
|-------|-------------|------|
| **Click3R** | ViT-L encoder, ViT-B decoder, 566.6M params, 224 × 224. The model of the paper. | [Download](https://huggingface.co/uva-cv-lab/Click3R) |
| DUSt3R (retrained) | Same encoder and decoder, 532.3M params, 224 × 224. DUSt3R trained on the same data as Click3R, the baseline of the paper. | [Download](https://huggingface.co/uva-cv-lab/Click3R-DUSt3R-retrained) |
## Usage
Run the interactive demo. The launcher sets up the environment and downloads the checkpoint:
```bash
git clone https://github.com/UVA-Computer-Vision-Lab/click3r
cd click3r
python demo.py
```
Download a checkpoint directly:
```bash
hf download uva-cv-lab/Click3R click3r.pth --local-dir checkpoints
hf download uva-cv-lab/Click3R-DUSt3R-retrained retrained.pth --local-dir checkpoints/dust3r
```
Evaluation and training commands are in the [code repository](https://github.com/UVA-Computer-Vision-Lab/click3r).
## Citation
```bibtex
@inproceedings{gu2026click3r,
title={Click3R: Interactive Stereo 3D Reconstruction with Sparse Correspondence Clicks},
author={Gu, Hao and Yao, Jin and Cheng, Zezhou},
booktitle={Neural Information Processing Systems (NeurIPS)},
year={2026}
}
```
## License
The model checkpoints are released under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/), as they are initialized from CroCo v2 and trained on non-commercial datasets.
|