Real-ESRGAN
Image-Super-Resolution-via-Iterative-Refinement
| Real-ESRGAN | Image-Super-Resolution-via-Iterative-Refinement | |
|---|---|---|
| 131 | 5 | |
| 26,111 | 3,364 | |
| - | - | |
| 2.7 | 0.0 | |
| 18 days ago | 6 months 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.
Image-Super-Resolution-via-Iterative-Refinement
- I know nothing about coding - could someone help me get something running?
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New Super Resolution method
Github link
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Google’s New AI Photo Upscaling Tech Is Jaw-Dropping
Here's an unofficial copy of the code: https://github.com/Janspiry/Image-Super-Resolution-via-Itera...
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SR3: Iterative Image Enhancement
https://github.com/Janspiry/Image-Super-Resolution-via-Itera...
Imagine a game using this tech, you could render a game in a lower resolution and possible get a better looking game. But then again they aren't yet dealing with temporal data.
In the previous discussion https://news.ycombinator.com/item?id=27858893 they mentioned that it was only class conditional but it also seems to work on unconditional data.
- I have super limited coding experience but have a question about this github link.
What are some alternatives?
ESRGAN - ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
Image-Super-Resolution-via-Itera
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
EGVSR - Efficient & Generic Video Super-Resolution
BSRGAN - Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
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.
waifu2x - Image Super-Resolution for Anime-Style Art
Real-ESRGAN - PyTorch implementation of Real-ESRGAN model
Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset