# amanchadha/iSeeBetter

<https://repo.masters-masters.com/en/repos/amanchadha/iSeeBetter>

[Home](https://repo.masters-masters.com/en) › [amanchadha](https://repo.masters-masters.com/en/owners/amanchadha) › [iSeeBetter](https://repo.masters-masters.com/en/repos/amanchadha/iSeeBetter)

amanchadha/iSeeBetter has 384 stars on GitHub. Its RepoMasters card: Alpha tier. iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative…

| Field | Value |
| --- | --- |
| Owner | [amanchadha](https://repo.masters-masters.com/en/owners/amanchadha) |
| Stars | 384 |
| Forks | 67 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | MIT |
| Created | 2019 |
| Topics | gans, gan, cnn, resnet, resnets, rnn, pytorch, super-resolution, srgan, psnr |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [amanchadha/iSeeBetter](https://github.com/amanchadha/iSeeBetter) |

## Repository

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

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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