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An autoencoder neural network for denoising low-sampling rate ray tracing images

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BrianShTsoi/APS360_raytracing_denoising

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APS360_Raytracing_Denoising

Instructions (Colab)

Instructions (local/CPU)

Instructions (local/GPU)

  • Download this folder: https://drive.google.com/drive/u/0/folders/1WaWD-KgrgYsRE5i0a-IxtwYJo2oypw5h, and save it alongside aps360project.py.
  • Install the CUDA 11.8 toolkit (https://developer.nvidia.com/cuda-11-8-0-download-archive)
  • Run pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118. If this fails, add Python3 directories to the path variable. You can do this by reinstalling Python3 and selecting "Add Python3 to PATH".
  • If you're using PyCharm, select "Inherit global site-packages" when making a new project.
  • To verify everything is installed correctly, run the following in a python console:
    import torch
    torch.cuda.is_available()
    

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An autoencoder neural network for denoising low-sampling rate ray tracing images

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