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# RefRef: A Synthetic Dataset and Benchmark for Reconstructing Scenes with Refractive and Reflective Objects
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## Overview
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**RefRef** is a synthetic dataset and benchmark for reconstructing scenes with **Ref**ractive-**Ref**lective objects. Our dataset
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## Directory Structure
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│ └── IoR_info.json # IoR values mapped to each object
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├── image_data/ # Rendered images, depth maps, and masks for each object
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│ ├── textured_cube_scene/
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│ │ └── {
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│ │ └── {object_name}/
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│ │ ├── train/ # Training set
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│ │ │ ├── r_0.png # RGB image
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│ ├── textured_sphere_scene/
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│ └── ...
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├── mesh_files/ # 3D mesh files (.ply format) for each object
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│ └── {
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│ └── ...
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├── blender_files/ # Blender source files for each object, organised by scene
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│ ├── bgpanels_cube/ # Background panels for cube scene
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## Object and Scenes
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The dataset includes 50 objects categorised into four groups based on their complexity, material composition, and shape:
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- `lab_equipment/`: Laboratory objects that include single and multi-material compositions, such as beakers and test tubes.
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Each object is placed in two distinct scenes:
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- `textured_cube_scene/`: Objects placed within a textured cube environment.
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# RefRef: A Synthetic Dataset and Benchmark for Reconstructing Scenes with Refractive and Reflective Objects (haven't uploaded everthing yet)
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## Overview
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**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.
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Each object is placed in two distinct bounded environments, resulting in 100 unique scenes with diverse geometries, material properties, and backgrounds.
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Our dataset provides a controlled setting for evaluating and developing 3D reconstruction and novel view synthesis methods that handle complex optical effects.
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## Directory Structure
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│ └── IoR_info.json # IoR values mapped to each object
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├── image_data/ # Rendered images, depth maps, and masks for each object
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│ ├── textured_cube_scene/
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│ │ └── {single-material_convex, single-material_non-convex, multiple-materials_non-convex}/
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│ │ └── {object_name}/
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│ │ ├── train/ # Training set
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│ │ │ ├── r_0.png # RGB image
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│ ├── textured_sphere_scene/
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│ └── ...
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├── mesh_files/ # 3D mesh files (.ply format) for each object
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│ └── {single-material_convex, single-material_non-convex, multiple-materials_non-convex}/
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│ └── ...
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├── blender_files/ # Blender source files for each object, organised by scene
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│ ├── bgpanels_cube/ # Background panels for cube scene
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## Object and Scenes
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The dataset includes 50 objects categorised into four groups based on their complexity, material composition, and shape:
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- `single-material_convex/`(18 scenes): Objects with convex geometries, each composed of a single refractive material, such as transparent cubes, balls, and pyramids.
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- `single-material_non-convex/`(40 scenes): Objects with non-convex geometries, each composed of a single refractive material, such as animal sculptures, glass jars, light bulbs, candle holders, and magnifiers.
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- `multiple-materials_non-convex/`(42 scenes): Objects with non-convex geometries, each composed of multiple refractive materials or a combination of refractive and opaque materials, such as reed diffusers, a glass of wine, and flasks filled with chemical liquid.
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Each object is placed in two distinct scenes:
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- `textured_cube_scene/`: Objects placed within a textured cube environment.
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