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  1. Forked from baowenbo/DAIN

    Depth-Aware Video Frame Interpolation (CVPR 2019)

    Python 22 18

  2. Forked from xinntao/ESRGAN

    You can use Google Colab to apply ESRGAN on your own images. Also high model compatibility because "old-arch" and "new-arch" models should work.

    Jupyter Notebook 16 5

  3. Forked from avinashpaliwal/Super-SloMo

    Using Google Colab to Interpolate videos with AI. PyTorch implementation of Super SloMo by Jiang et al.

    Python 5 3

  4. Forked from cszn/KAIR

    Colab for image upscaling with USRNet. It also includes training and testing codes for DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN and IMDN, but these are not pre-configured.

    Python 1

  5. Forked from Mukosame/Zooming-Slow-Mo-CVPR-2020

    Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

    Python 3 1

  6. Forked from tugstugi/dl-colab-notebooks

    Try out deep learning models online on Google Colab

    Jupyter Notebook 2

98 contributions in the last year

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Activity overview
Contributed to baowenbo/DAIN, styler00dollar/pytorch-loss-functions, Zedd1558/Inpainter and 5 other repositories

Contribution activity

January 2021

Created 1 repository
1 contribution in private repositories Jan 6
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