🌐Homepage 📖Arxiv GitHub ✨Dataset Summary S2R HDR is a large scale synthetic dataset for high dynamic range (HDR) reconstruction tasks. It contains 1,000 motion sequences, each comprising 24 images at 1920×1080 resolution, with a total of 24,000 images . To support flexible data augmentation, all images are stored in EXR format with linear HDR values . The dataset is rendered using Unreal Engine 5 and our custom pipeline built upon XRFeitoria, encompassing diverse dynamic elements, motion patterns, HDR compatible scenes, and varied lighting conditions. Beyond the core imagery, we additionally provide per frame rendered auxiliary data including optical flow, depth maps, surface normals, and diffuse albedo information, significantly expanding S2R HDR's potential applications across various computer vision tasks. Note: The other half of the data is stored in a separate repository: https://huggingface.co/datasets/iimmortall/S2R HDR 2. HDRs Optical Flow Depth Diffuse Normal 🔔News 🔥 We are pleased to announce the official release of our S2R HDR dataset. We welcome the utilization of this resource and the provision of valuable feedback for continuous improvement. 🏭Dataset Structure ⚠…
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