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https://github.com/amanchadha/frvsr-gan
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
https://github.com/amanchadha/frvsr-gan
adjacent-frames cnn cnns convolutional-neural-networks frame-recurrence frvsr-gan gan gans generative-adversarial-network opencv psnr python python3 pytorch recurrent-neural-network sisr srgan ssim super-resolution video-super-resolution
Last synced: 9 days ago
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A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
- Host: GitHub
- URL: https://github.com/amanchadha/frvsr-gan
- Owner: amanchadha
- License: gpl-3.0
- Created: 2019-11-03T06:35:12.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2022-06-21T23:20:17.000Z (over 2 years ago)
- Last Synced: 2024-07-30T18:41:07.199Z (4 months ago)
- Topics: adjacent-frames, cnn, cnns, convolutional-neural-networks, frame-recurrence, frvsr-gan, gan, gans, generative-adversarial-network, opencv, psnr, python, python3, pytorch, recurrent-neural-network, sisr, srgan, ssim, super-resolution, video-super-resolution
- Language: Python
- Homepage: http://amanchadha.com/projects/ai/dl/AmanChadha_CS230ProjectMilestone.pdf
- Size: 167 MB
- Stars: 57
- Watchers: 4
- Forks: 12
- Open Issues: 4
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Metadata Files:
- Readme: README.md
- License: LICENSE