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Datasets:
pantankda
/
data

Tasks:
Image-to-Image
Modalities:
Image
Languages:
English
Size:
10K<n<100K
Tags:
image-to-image
shadow-removal
synthetic-dataset
3dfront
objaverse
aaai-2025
License:
Dataset card Data Studio Files
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  This is the official dataset for the paper **"OmniSR: Shadow Removal under Direct and Indirect Lighting"** (AAAI 2025). It is a large-scale synthetic image dataset specifically designed for studying shadow removal under both direct and indirect illumination conditions.
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  The dataset contains over **30,000 pairs** of images. Each pair consists of:
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- 1. An image with shadows caused by direct lighting.
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- 2. An image with shadows caused by indirect lighting.
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- 3. A corresponding shadow-free ground truth image.
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  It was rendered using the **3D-Front** and **Objaverse** 3D model libraries, covering a wide variety of indoor scenes, object types, and lighting conditions.
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  This is the official dataset for the paper **"OmniSR: Shadow Removal under Direct and Indirect Lighting"** (AAAI 2025). It is a large-scale synthetic image dataset specifically designed for studying shadow removal under both direct and indirect illumination conditions.
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  The dataset contains over **30,000 pairs** of images. Each pair consists of:
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+ 1. An image with shadows caused by direct lighting and indirect lighting.
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+ 2. A corresponding shadow-free ground truth image.
 
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  It was rendered using the **3D-Front** and **Objaverse** 3D model libraries, covering a wide variety of indoor scenes, object types, and lighting conditions.
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