AI-Colab-Notebooks

AI colab Notebooks Made or edited by HostsServer aka MSFTserver

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

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