computer-vision-7
Semi-supervised 2D and 3D landmark labeling
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
MBW: Multi-view Bootstrapping in the Wild
S. Lucey, Chaoyang Wang, Mosam Dabhi, László A. Jeni, Ian R. Fasel•Mon Oct 03 2022
This paper combines a non-rigid 3D neural prior with deep flow to obtain high-fidelity landmark estimates from videos with only two or three uncalibrated, handheld cameras, and produces 2D results comparable to state-of-the-art fully supervised methods, along with 3D reconstructions that are impossible with other existing approaches.
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