Real-ESRGAN
BSRGAN
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| Real-ESRGAN | BSRGAN | |
|---|---|---|
| 131 | 8 | |
| 26,111 | 1,136 | |
| - | - | |
| 2.7 | 0.0 | |
| 18 days ago | 18 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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Real-ESRGAN
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AI-Powered Nvidia RTX Video HDR Transforms Standard Video into HDR Video
It's not exactly what you're after, as it's anime specific and you need to process the video yourself (eg disassemble to frames, run the upscaler, then assemble back to a movie file), but Real-ESRGAN is really good:
https://github.com/xinntao/Real-ESRGAN/
It's pretty brilliant for cleaning up very old, low resolution anime.
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Photorealistic Video Generation with Diffusion Models
Just a note you can run upscaling on your home desktop with Real-ESRGAN:
https://github.com/xinntao/Real-ESRGAN
- What software to use for upscaling anime edits
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What neural net for SISR?
Maybe Real-ESRGAN is a good fit? Even tho it's a couple of years old
- Cant make concurrent calls to Model
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Outis my beloved
I'm glad you noticed! I upscaled the icon from the wiki using Real-ESRGAN's 4xplus anime model, then photoshopped out the text. Worked far better than waifu2x.
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ComicMerge (Beta testing version - SafeTensors)
A: Try using High-res Fix and R-ESRGAN 4x+ Anime6B as upscaler
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Is there any way to upscale local files permanently using Nvidia's RT VSR?
Maybe try this one https://github.com/xinntao/Real-ESRGAN it may work even better.
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YOASOBI Idol [3840 x 2160]
Screenshotted from the official music video, upscaled to 4k using a state of the art ML model.
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Compilation of (almost) all end of chapter panels
Do you happen to remember which chapter has that "scene"? You could also try to enhance it yourself, I did it using Real-ESRGAN, which is really easy to use.
BSRGAN
- The Joke Is on Us
- QualityScaler 8.0 - image/video deeplearning upscaler with any GPU (BSRGAN/Pytorch)
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Waterfalls [1920 x 1080]
u/VorgBardo, love them. I upscaled these to 4k versions using BSRGAN.
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QualityScaler update 2.2 - deeplearning image/video upscaler app for Windows
Pytorch model here https://github.com/cszn/BSRGAN
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QualityScaler 1.4.0 - image/video upscaling - enhancement Windows app
Pretrained models are not on Github because they are super heavy, but you can find theme here https://github.com/cszn/BSRGAN (the files are BSRGAN.pth and RealSR_JPEG.pth)
- QualityScaler 1.1.0 - Image/video upscaling & enhancement GUI app based on BRSGAN & RealSR_JPEG
What are some alternatives?
ESRGAN - ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
QualityScaler - QualityScaler - image/video deeplearning upscaling for any GPU
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
RealS
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
waifu2x - Image Super-Resolution for Anime-Style Art
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset
PaddleGAN - PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
stable-diffusion-webui - Stable Diffusion web UI