GANerated Hands for Real-Time 3 D Hand Tracking from Monocular RGB – Supplementary Document –

@inproceedings{Mueller2018GANeratedHF,
  title={GANerated Hands for Real-Time 3 D Hand Tracking from Monocular RGB – Supplementary Document –},
  author={Franziska Mueller and Florian J. Bernard and Oleksandr Sotnychenko and Dushyant Mehta and Srinath Sridhar and Dan Casas and Christian Theobalt},
  year={2018}
}
Network Design: The architecture of GeoConGAN is based on the CycleGAN [13], i.e. we train two conditional generator and two discriminator networks for synthetic and real images, respectively. Recently, also methods using only one generator and discriminator for enrichment of synthetic images from unpaired data have been proposed. Shrivastava et al. [9] and Liu et al. [5] both employ an L1 loss between the conditional synthetic input and the generated output (in addition to the common… CONTINUE READING

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