GitHub / amanchadha / iSeeBetter
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
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Stars: 367
Forks: 68
Open issues: 21
License: mit
Language: C++
Size: 581 MB
Dependencies parsed at: Pending
Created at: over 5 years ago
Updated at: 3 days ago
Pushed at: 2 days ago
Last synced at: 1 day ago
Topics: cnn, convolutional-neural-network, convolutional-neural-networks, gan, gans, generative-adversarial-network, psnr, pytorch, recurrent-neural-networks, residual-networks, resnet, resnets, rnn, self-supervised-learning, srgan, ssim, super-resolution, unsupervised-learning, video-processing, video-super-resolution