MPI (Max Planck Institute) Sintel is a dataset for optical flow evaluation that has 1064 synthesized stereo images and ground truth data for disparity. Sintel is derived from open-source 3D animated short film Sintel. The dataset has 23 different scenes. The stereo images are RGB while the disparity is grayscale. Both have resolution of 1024×436 pixels and 8-bit per channel.
188 PAPERS • 6 BENCHMARKS
For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-pixel ground truth labels from real images. Hypersim is a photorealistic synthetic dataset for holistic indoor scene understanding. It contains 77,400 images of 461 indoor scenes with detailed per-pixel labels and corresponding ground truth geometry.
64 PAPERS • 1 BENCHMARK
We present a new large-scale photorealistic panoramic dataset named FutureHouse, which has the following characteristics. 1) It contains over 70,000 high-quality models with high-resolution meshes and physical material. All models are measured in real world standards. 2) Selected scene layouts are carefully designed by over 100 excellent artists. All of selected layouts are used in realworld display. 3) It contains 28,579 good panoramic views from 1,752 house-scale scenes. Therefore, it can be used for perspective image tasks as well as omnidirectional image tasks. 4) More physical material representation. Most materials are represent by microfacet BRDF modeling metalness, and the rest are represent by special shading models, e.g., cloth material and transmission material. 5) High rendering quality. Benefiting from commercial rendering engine, Unreal engine 4, and powerful deep learning super sampling (DLSS), our renderings have less noise. Our SVBRDF rep
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IBL-NeRF Dataset. Contains multi-view images with its intrinsic components.
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Doc3DShade extends Doc3D with realistic lighting and shading. Follows a similar synthetic rendering procedure using captured document 3D shapes but final image generation step combines real shading of different types of paper materials under numerous illumination conditions.
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Intrinsic component extension of MIT Multi-Illumination Dataset proposed in the paper "Intrinsic Image Decomposition via Ordinal Shading", Chris Careaga and Yağız Aksoy, ACM Transactions on Graphics, 2023