realsr-ncnn-vulkan
ESRGAN
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realsr-ncnn-vulkan | ESRGAN | |
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7 | 21 | |
1,036 | 5,707 | |
- | - | |
0.0 | 0.0 | |
about 1 year ago | over 1 year ago | |
C | Python | |
MIT License | Apache License 2.0 |
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realsr-ncnn-vulkan
- Would anyone help me get a better picture of these plates ? They did a hit and run on me
- Stable Diffusion on AMD RDNA™ 3 Architecture
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Best Option for Large Digital Wall Display?
Compressing the videos has become quite a project that involves the seed_travel script, a little imagemagick, upscaling with realSR, an absolute ton of interpolation with RIFE, and the swiss army knife of video tools, ffmpeg.
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Can someone please remove the logo from the first poster? The second image is another version of the poster with the logo to the side, if it helps. Thanks in advance!
I used realsr-ncnn-vulkan if anyone is interested.
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FidelityFX-CLI: Command line tool that processes image files using the FidelityFX Super Resolution (FSR) shader system
Try RealSR, I always get pretty solid results with it and it's very straightforward as long as you're not afraid of programs without a GUI. There are also those "GAN" upscalers but I honestly know basically nothing about them, but I'm sure there is some program with GAN on it's name that can get you similar or better results than TopazAI. ESRGAN maybe?
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Upscaling Video (Zoom, Skype) from 360p to 1080p | Topaz Video
Executables are here(see releases on right side): https://github.com/nihui/realsr-ncnn-vulkan/releases
ESRGAN
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Upscayl - Free and Open Source AI Image Upscaler for Linux, Mac and Windows
This seems to be based on ESRGAN which is supposed to be higher quality than waifu2x.
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How can I change the parameters of ESRGAN
I downloaded https://github.com/xinntao/ESRGAN , I run it using command line, no gui.
- Finetuning a x2 Real-ESRGAN model?
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The Golden Gator re-imagined by AI (Read comment before watching on stream)
Nerd info: Uses 3 different algorithms together: https://github.com/CompVis/stable-diffusion For generating source https://github.com/TencentARC/GFPGAN For repairing faces, mouths, eyes https://github.com/xinntao/ESRGAN For upscaling Paint.Net for manual retouching, cleanup and adjustments.
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[D] Has anyone tried GAN "tricks" on VAEs?
Code for https://arxiv.org/abs/1809.00219 found: https://github.com/xinntao/ESRGAN
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How to convert a low resolution, pixelated image into a high resolution picture 💫
Even if it's not a simple black and white image, you can get damn impressive results when upscaling images with GAN-based algorithms, like ESRGAN, together with a suitable pretrained model. Both are free of charge. The software can be tricky to use compared to Photoshop, though.
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Ambriel Motion Graphics Experiment
I use ESRGAN: https://github.com/xinntao/ESRGAN
- Some architectural stuff I’ve been working on.
- children playing in the rain at night illuminated by lanterns, reflective puddles, fine detail, by Leonid Afremov
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Paper: "A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net Discriminators", Wei et al 2021. "Main idea: Introduce attention U-net into the field of blind real world image super resolution. We aims to provide a super resolution method with sharper result and less distortion."
There are two Generator architectures that are in the code, however these are actually just sitting there unused, likely from work that did not pan out because if you look at their inference code it's not used at all. Instead they directly import the plain old vanilla RRDB architecture from BasicSR yet again another Xinntao repository. Seeing the theme here.
What are some alternatives?
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Real-ESRGAN-ncnn-vulkan - NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
Waifu2x-Extension-GUI - Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
waifu2x-ncnn-vulkan - waifu2x converter ncnn version, runs fast on intel / amd / nvidia / apple-silicon GPU with vulkan
srmd-ncnn-vulkan - SRMD super resolution implemented with ncnn library
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
FidelityFX-FSR - FidelityFX Super Resolution
traiNNer - traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.