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SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation

7 Jun 2020CVPR 2020 6arXiv:2006.04026archive 2025-07-28

Koutilya PNVR, Hao Zhou, David Jacobs

We propose a novel method for combining synthetic and real images when training networks to determine geometric information from a single image. We suggest a method for mapping both image types into a single, shared domain. This is connected to a primary network for end-to-end training. Ideally, this results in images from two domains that present shared information to the primary network. Our experiments demonstrate significant improvements over the state-of-the-art in two important domains, surface normal estimation of human faces and monocular depth estimation for outdoor scenes, both in an unsupervised setting.

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koutilya40192/SharinGAN officialmentioned in paperpytorch report

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Tasks

Depth EstimationMonocular Depth EstimationSurface Normal EstimationSurface Normals EstimationUnsupervised Domain Adaptation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Monocular Depth Estimation KITTI Eigen split unsupervised SharinGAN Delta < 1.25 0.864 #44 of 55 Archive leaderboard report
Monocular Depth Estimation KITTI Eigen split unsupervised SharinGAN Delta < 1.25^2 0.954 #44 of 55 Archive leaderboard report
Monocular Depth Estimation KITTI Eigen split unsupervised SharinGAN Delta < 1.25^3 0.981 #44 of 55 Archive leaderboard report
Monocular Depth Estimation KITTI Eigen split unsupervised SharinGAN RMSE 3.77 #44 of 55 Archive leaderboard report
Monocular Depth Estimation KITTI Eigen split unsupervised SharinGAN RMSE log 0.19 #44 of 55 Archive leaderboard report
Monocular Depth Estimation KITTI Eigen split unsupervised SharinGAN Sq Rel 0.673 #44 of 55 Archive leaderboard report
Monocular Depth Estimation KITTI Eigen split unsupervised SharinGAN absolute relative error 0.109 #44 of 55 Archive leaderboard report
Monocular Depth Estimation Make3D SharinGAN Abs Rel 0.377 #3 of 6 Archive leaderboard report
Monocular Depth Estimation Make3D SharinGAN RMSE 8.388 #3 of 6 Archive leaderboard report
Monocular Depth Estimation Make3D SharinGAN Sq Rel 4.9 #3 of 6 Archive leaderboard report

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