collection curated by lmbfreiburg https://academictorrents.com/collection/flyingthings3d @article{, title= {FlyingThings3D_subset_motion_boundary_weights.tar.bz2}, keywords= {Dataset, optical flow, synthetic, disparity, scene flow}, journal= {}, author= {Nikolaus Mayer and Eddy Ilg and Philip Hausser and Philipp Fischer and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox}, year= {}, url= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html}, license= {}, abstract= {This torrent contains the "Motion Boundary Weights" data for the DispNet/FlowNet2.0 subset of the "FlyingThings3D" dataset from the CVPR 2016 paper "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation" by Mayer et al. 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(https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html).}, superseded= {}, terms= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html#tou} } https://academictorrents.com/download/4ef721c60242c3a509383335bac038754473adff @article{, title= {FlyingThings3D_subset_disparity_occlusion_weights.tar.bz2}, keywords= {Dataset, optical flow, synthetic, disparity, scene flow}, journal= {}, author= {Nikolaus Mayer and Eddy Ilg and Philip Hausser and Philipp Fischer and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox}, year= {}, url= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html}, license= {}, abstract= {This torrent contains the "Disparity Occlusion Weights" data for the DispNet/FlowNet2.0 subset of the "FlyingThings3D" dataset from the CVPR 2016 paper "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation" by Mayer et al. (https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html).}, superseded= {}, terms= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html#tou} } https://academictorrents.com/download/577500cf640dcd86ec6da416670ac29714cc37fc @article{, title= {FlyingThings3D_subset_disparity_change.tar.bz2}, keywords= {Dataset, optical flow, synthetic, disparity, scene flow}, journal= {}, author= {Nikolaus Mayer and Eddy Ilg and Philip Hausser and Philipp Fischer and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox}, year= {}, url= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html}, license= {}, abstract= {This torrent contains the "Disparity Change" data for the DispNet/FlowNet2.0 subset of the "FlyingThings3D" dataset from the CVPR 2016 paper "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation" by Mayer et al. 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(https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html).}, superseded= {}, terms= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html#tou} } https://academictorrents.com/download/3acbcf869ce364fcf25704daccc72daacecc8e62 @article{, title= {flyingthings3d__disparity.tar.bz2}, keywords= {disparity,scene flow,optical flow,dataset,synthetic}, journal= {}, author= {Nikolaus Mayer and Eddy Ilg and Philip Hausser and Philipp Fischer and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox}, year= {}, url= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html}, license= {}, abstract= {This torrent contains the "Disparity" data for the "FlyingThings3D" dataset from the CVPR 2016 paper "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation" by Mayer et al. (https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html).}, superseded= {}, terms= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html#tou} } https://academictorrents.com/download/3221ff49a08f5e6749f24958c1f76248fe9cb884 @article{, title= {flyingthings3d__frames_finalpass_webp.tar}, keywords= {disparity,scene flow,optical flow,dataset,synthetic}, journal= {}, author= {Nikolaus Mayer and Eddy Ilg and Philip Hausser and Philipp Fischer and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox}, year= {}, url= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html}, license= {}, abstract= {This torrent contains the "Final pass" images (WebP format) for the "FlyingThings3D" dataset from the CVPR 2016 paper "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation" by Mayer et al. 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(https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html).}, superseded= {}, terms= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html#tou} } https://academictorrents.com/download/d20b0f88033b652b84ef4fa49ebcaa7f692df1a5 @article{, title= {flyingthings3d__frames_cleanpass.tar}, keywords= {disparity,scene flow,optical flow,dataset,synthetic}, journal= {}, author= {Nikolaus Mayer and Eddy Ilg and Philip Hausser and Philipp Fischer and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox}, year= {}, url= {https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html}, license= {}, abstract= {This torrent contains the "Clean pass" images (PNG format) for the "FlyingThings3D" dataset from the CVPR 2016 paper "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation" by Mayer et al. 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