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DeepShade

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  Dataset Summary
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  DeepShade is a multimodal dataset designed for shade simulation via text-conditioned image generation. It captures realistic outdoor scenes and their corresponding shade conditions over time, enabling supervised training of diffusion-based models that can simulate sun-shade transitions based on spatial layout and temporal context.
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  The dataset was introduced in the DeepShade project (IJCAI 2025 submission), and it supports research in text-to-image generation.
 
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  Dataset Summary
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  DeepShade is a multimodal dataset designed for shade simulation via text-conditioned image generation. It captures realistic outdoor scenes and their corresponding shade conditions over time, enabling supervised training of diffusion-based models that can simulate sun-shade transitions based on spatial layout and temporal context.
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  The dataset was introduced in the DeepShade project (IJCAI 2025 submission), and it supports research in text-to-image generation.