Use the name Click3R

README.md

@@ -14,7 +14,7 @@ library_name: pytorch
 pipeline_tag: image-to-3d
 ---
 
-## CLICK3R: Interactive Stereo 3D Reconstruction with Sparse Correspondence Clicks
+## Click3R: Interactive Stereo 3D Reconstruction with Sparse Correspondence Clicks
 
 [![Project Page](https://img.shields.io/badge/Project%20Page-333399.svg?logo=homepage)](https://uva-computer-vision-lab.github.io/click3r)
 [![Online Demo](https://img.shields.io/badge/%F0%9F%A4%97%20OnlineDemo-276cb4.svg)](https://huggingface.co/spaces/uva-cv-lab/CLICK3R)
@@ -22,14 +22,14 @@ pipeline_tag: image-to-3d
 [![Code](https://img.shields.io/badge/Code-black.svg?logo=github)](https://github.com/UVA-Computer-Vision-Lab/click3r)
 ![arXiv](https://img.shields.io/badge/Arxiv-coming%20soon-b5212f.svg?logo=arxiv)
 
-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.
+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) |
+| **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
 
@@ -52,7 +52,7 @@ Evaluation and training commands are in the [code repository](https://github.com
 
 ```bibtex
 @inproceedings{gu2026click3r,
-  title={CLICK3R: Interactive Stereo 3D Reconstruction with Sparse Correspondence Clicks},
+  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}