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demo code and pretrained model for ECCV 2018 paper "Reconstruction-based Pairwise Depth Dataset for Depth Image Enhancement Using CNN"

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posgraph/coupe.depth_refine_reconstruct

 
 

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depth_refine_reconstruct

Currently we only provide the code for inference, but the necessary codes for training (network architecture, discontinuity loss) are available now (in ulapsrn.py).

(NEW) clean depth image rendering code updated (2019.05.09)

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demo code and pretrained model for ECCV 2018 paper "Reconstruction-based Pairwise Depth Dataset for Depth Image Enhancement Using CNN"

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  • Python 51.7%
  • C++ 46.6%
  • Makefile 1.7%