AI-Colab-Notebooks

AI colab Notebooks Made or edited by HostsServer aka MSFTserver

NoteBooks

• ESRGAN_4_VID.ipynb

  • Exports Frames from Video using ffmpeg
  • Runs them Through Real-ESRGAN
  • Recompiles the video with ffmpeg.

• Super_SloMo.ipynb

  • Makes a video slow motion
  • Given two consecutive frames, video interpolation aims at generating intermediate frame(s) to form both spatially and temporally coherent video sequences.
  • end-to-end convolutional neural network for variable-length multi-frame video interpolation
  • PyTorch implementation of "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation" by Jiang H., Sun D., Jampani V., Yang M., Learned-Miller E. and Kautz J. Project Paper

• VQGAN_Prompts_Generator.ipynb

  • Generates a random prompt for a VQGAN+CLIP
  • based on a random selection of "things", "places", "colors", "styles", and "artists.
  • Credit to dughogan orignal project on Github

• NNST.ipynb / NNST_Batch.ipynb

  • colab implementation of Neural Neighbor Style Transfer
  • based on nearest-neighbors that achieves higher quality stylization than prior work, without sacrificing content preservation
  • Credit to nkolkin13 orignal project on Github
  • Paper