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[IEEE TPAMI] RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion & [CVPR 2022] RGB-Depth Fusion GAN for Indoor Depth Completion

License: Apache License 2.0

Shell 0.55% Python 87.25% C++ 2.60% Cuda 9.60%

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rdfc-gan's Issues

questions about dataloader

Hi,thank you for your excellent contribution in the field of deep complementation, I have encountered some problems in trying to reproduce the code and I hope you will be able to help me out.

  1. The dataloder.py file seems to be missing from the code, would you mind uploading it?
  2. I noticed you used surface_normal_file when trying to process sunrgbd data, is this file processed by a third party code SNU? Would you mind providing it?

Looking forward to your reply

About Dataset

Hello, very interested in your project. Is it possible to train the training set and the test machine with only ground truth and raw data of the image data.What kind of dataset is needed to train the model? For example: real graphs and raw data for both the training and test sets

Pretrained Model

Hello, thanks for your interesting work. Could you release pretrained models for testing?

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