Comments (1)
Hello @AkbarShah96,
What we did is that we took the first 20 samples per scene from the first 300 scenes of the InteriorNet dataset, we artificially added noise to them, as reported in the supplementary material of the paper, and then we denoised them using our model trained on the balloon-human dataset we created using a multi-view RGBD capture system.
With respect to the scenes and samples in Figure 11, the scenes and sample ids are:
- 3FO4IERA6E41_Living_room_Sample#15
- 3FO4IFC5UYLB_Kitchen_Sample#5
- 3FO4IDGMDQA4_Dining_room_Sample#6
- 3FO4IF4VQF87_Study_Sample#0
I hope now it's clear and you can reproduce the results.
from deepdepthdenoising.
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from deepdepthdenoising.