CoDeF AI

4.3
(79)
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:

Python
pip install codefai

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

Python
python codefai/demo.py --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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