Content Deformation Fields for Temporally Consistent Video Processing
CoDeF AI Github is the official public GitHub repository for the CoDeF AI video processing framework. CoDeF AI is a deep learning-based framework for temporally consistent video processing. It is trained on a large dataset of videos and can be used to perform a variety of tasks, including:
  • Video denoising
  • Video deblurring
  • Video super-resolution
  • Video frame interpolation
  • Video compression

CoDeF AI is implemented in PyTorch and is easy to use. It can be installed using the following command:

pip install codefai

Once installed, CoDeF AI can be used to process videos using the following command:

python codefai/ --video_path input.mp4 --output_path output.mp4

This will denoise and deblur the input video and save the output video to the specified output path.

CoDeF AI is a powerful tool for video processing and can be used by a variety of users, including:

  • Video editors
  • Filmmakers
  • Researchers
  • Developers

Here are some examples of how CoDeF AI can be used:

  • Video editors can use CoDeF AI to denoise and deblur their videos before uploading them to social media or streaming platforms.
  • Filmmakers can use CoDeF AI to create high-quality videos with low-budget cameras.
  • Researchers can use CoDeF AI to develop new video processing algorithms.
  • Developers can use CoDeF AI to integrate video processing capabilities into their applications.

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