dandere2x
ESRGAN
dandere2x | ESRGAN | |
---|---|---|
30 | 21 | |
1,403 | 5,707 | |
- | - | |
0.0 | 0.0 | |
9 months ago | over 1 year ago | |
C++ | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
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dandere2x
- CAP_IMAGES: can't find starting number
- hey I'm new to this need help
- 3.7.3 Release: pixel format detection
- 3.7.2 Patch: Fixes Long Upscaling Issue on Intel
- Patch 3.7.1: Brute Force framerate counting
- 3.7 Release: Async Frame Writing, Customizable Max Frames Ahead
- Dandere2x Buildable on Unix-Like Systems Again
- Dandere2x Unix Overhaul: Dandere2x on MacOS testing.
- Anyone want to test dandere2x on a mac for me?
- 3.6 Release: "Re-encoding" removal
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?
TecoGAN - This repo contains source code and materials for the TEmporally COherent GAN SIGGRAPH project.
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
realsr-ncnn-vulkan - RealSR super resolution implemented with ncnn library
waifu2x-ncnn-vulkan - waifu2x converter ncnn version, runs fast on intel / amd / nvidia / apple-silicon GPU with vulkan
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.
FidelityFX-CLI - FidelityFX CLI
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration