EESRGAN
BasicSR
| EESRGAN | BasicSR | |
|---|---|---|
| 1 | 5 | |
| 251 | 6,233 | |
| - | 2.8% | |
| 10.0 | 0.0 | |
| over 1 year ago | 16 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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EESRGAN
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LogoScale – A method for vectorizing small, crappy logos
Yeah I'd be similarly curious how that was arrived at. ESRGAN was co-developed by a researcher at Tencent, who has been involved in a range of similar things.
The only satellite related thing I saw in my brief searching is some separate project[1] based on ESRGAN used for satellite imagery.
[1] https://github.com/Jakaria08/EESRGAN
BasicSR
- About Open Source Image and Video Restoration Toolbox
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Super-Resolution Generative Adversarial Networks (SRGAN)
I think you might be interested in https://github.com/XPixelGroup/BasicSR
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Just saw a demo of nvidias super resolution. Is the software already available to the end user and can one upsize ones old „family“ photos to something astonishingly crisp and detailed for prints?
It's not the same but GFPGan works quite well, you might want to check out BasicSR. The Remini mobile app is impressive too.
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Anyone currently able to run Real-ESRGAN notebooks on colab currently?
!pip install git+https://github.com/xinntao/BasicSR.git
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Training ESRGAN: Seemingly impossible
So, I was using a pretty high-end machine with an AMD RX 6900 XT GPU, ready to do some GPU accelerated computing. I had booted into Windows 10. I followed a guide for training on my own dataset. PyTorch was the name of the framework that served as the foundation for [BasicSR[(https://github.com/xinntao/BasicSR), which in turn provided the tools I needed.
What are some alternatives?
techniques - Techniques for deep learning with satellite & aerial imagery
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
BasicSR - Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet. [Moved to: https://github.com/XPixelGroup/BasicSR]
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
ESRGAN - ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
dalle-flow - 🌊 A Human-in-the-Loop workflow for creating HD images from text
Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset
EGVSR - Efficient & Generic Video Super-Resolution
Real-ESRGAN - PyTorch implementation of Real-ESRGAN model
torchSR - Super Resolution datasets and models in Pytorch
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration