Datasets:

yinyue27
/

RefRef

@@ -590,9 +590,15 @@ size_categories:
 - 100K<n<1M
 ---
-# RefRef: A Synthetic Dataset and Benchmark for Reconstructing Refractive and Reflective Objects
-## Overview
 **RefRef** is a synthetic dataset and benchmark designed for the task of reconstructing scenes with complex refractive and reflective objects. Our dataset consists of 50 objects categorized based on their geometric and material complexity: single-material convex objects, single-material non-convex objects, and multi-material non-convex objects, where the materials have different colors, opacities, and refractive indices.
 Each object is placed in two distinct bounded environments and one unbounded environment, resulting in 150 unique scenes with diverse geometries, material properties, and backgrounds.
 Our dataset provides a controlled setting for evaluating and developing 3D reconstruction and novel view synthesis methods that handle complex optical effects.
@@ -617,4 +623,7 @@ The dataset includes 50 objects categorised into three groups based on their com
 Each object is placed in three distinct scenes:
 - `textured_cube_scene/`: Objects placed within a bounded textured cube environment.
 - `textured_sphere_scene/`: Objects placed within a bounded textured sphere environment.
-- `environment_map_scene/`: Objects placed in an unbounded environment map background.

 - 100K<n<1M
 ---
+# RefRef Dataset
+[![Project Page](https://img.shields.io/badge/Project-Page-blue)]()
+[![Paper](https://img.shields.io/badge/Paper-PDF-red)]()
+[![Dataset](https://img.shields.io/badge/Dataset-HuggingFace-yellow)](https://huggingface.co/datasets/yinyue27/RefRef)
+# RefRef: A synthetic dataset and benchmark for reconstructing refractive and reflective objects
+[Yue Yin](), [Enze Tao](), [Weijian Deng](https://weijiandeng.xyz/), [Dylan Campbell](https://sites.google.com/view/djcampbell)
+## Abstract
 **RefRef** is a synthetic dataset and benchmark designed for the task of reconstructing scenes with complex refractive and reflective objects. Our dataset consists of 50 objects categorized based on their geometric and material complexity: single-material convex objects, single-material non-convex objects, and multi-material non-convex objects, where the materials have different colors, opacities, and refractive indices.
 Each object is placed in two distinct bounded environments and one unbounded environment, resulting in 150 unique scenes with diverse geometries, material properties, and backgrounds.
 Our dataset provides a controlled setting for evaluating and developing 3D reconstruction and novel view synthesis methods that handle complex optical effects.
 Each object is placed in three distinct scenes:
 - `textured_cube_scene/`: Objects placed within a bounded textured cube environment.
 - `textured_sphere_scene/`: Objects placed within a bounded textured sphere environment.
+- `environment_map_scene/`: Objects placed in an unbounded environment map background.
+## Citation
+*(Coming soon)*