Improve model card and add tags

README.md

@@ -1,15 +1,25 @@
 ---
 license: apache-2.0
 pipeline_tag: image-to-3d
+tags:
+- gaussian-splatting
+- 3d
+- surface-reconstruction
 ---
+
 # Revisiting Photometric Ambiguity for Accurate Gaussian-Splatting Surface Reconstruction
 
-This repository provides the reconstructed meshes and resources for the paper Revisiting Photometric Ambiguity for Accurate Gaussian-Splatting Surface Reconstruction.
+This repository provides the reconstructed meshes and resources for the paper [Revisiting Photometric Ambiguity for Accurate Gaussian-Splatting Surface Reconstruction](https://huggingface.co/papers/2605.12494).
+
+**Authors**: Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xiaohan Yu, Lin Gu, Gim Hee Lee.
 
 *   [📚 Paper](https://huggingface.co/papers/2605.12494)
 *   [🌐 Project Page](https://fictionarry.github.io/AmbiSuR-Proj/)
 *   [💻 Code](https://github.com/Fictionarry/AmbiSuR)
 
+## Overview
+AmbiSuR is a framework that explores an intrinsic solution upon Gaussian Splatting for photometric ambiguity-robust surface 3D reconstruction. By revisiting built-in primitive-wise ambiguities, the framework introduces a photometric disambiguation constraint and an ambiguity indication module to identify and guide the correction of underconstrained reconstructions, achieving high-performance surface formation in challenging scenarios.
+
 ## Reconstruction on Tanks and Temples and DTU Datasets
 
 Here we provide the reconstructed meshes of the paper's experiments from AmbiSuR.
@@ -17,7 +27,6 @@ Here we provide the reconstructed meshes of the paper's experiments from AmbiSuR
 You can browse all the released meshes at:
 
 -   `ambisur-<dataset>-meshes-eval/`: The meshes on DTU/TnT datasets, with strict filtering strategy for evaluation.
-
 -   `ambisur-<dataset>-meshes-vis/`: The meshes on DTU/TnT datasets, with loose filtering strategy for visualization.
 
 Metrics shall be reproduced with the results with postfix of `-eval`.