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 # RefRef: A Synthetic Dataset and Benchmark for Reconstructing Scenes with Refractive and Reflective Objects (haven't uploaded everthing yet)
 
 ## Overview
-**RefRef** is a synthetic dataset and benchmark for reconstructing scenes with **Ref**ractive-**Ref**lective 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.
+**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, resulting in 100 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.