image-super-resolution
SwinIR
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image-super-resolution | SwinIR | |
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19 | 27 | |
4,459 | 3,989 | |
1.0% | - | |
0.0 | 0.0 | |
17 days ago | 11 months ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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image-super-resolution
- A tech worker is selling a children's book he made using AI. Professional illustrators are pissed.
- Low quality surveillance footage from a hit and run that happened today. Greatly appreciate if anyone has any ideas on how to get the plate number.
- What’s an extremely useful website most people probably don’t know about?
- VC#4 - pancake - vc.ajmoon.uk - VQGAN/CLIP + 3D Photo Inpainting + Image Super-Resolution
- VC#1 - presidency - vc.ajmoon.uk - VQGAN/CLIP + 3D Photo Inpainting + Image Super-Resolution
- I unwrapped Neil Armstrong’s visor to 360 sphere to see what he saw.
- Totally free and unlimited upscale or superresolution AI
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Feasibility of Using a Python Image Super Resolution Library in My Rust App
I'm building a photo editing app in rust and though it might be nice to have an AI super resolution feature. A user could click a button to increase the images size by 2x, 4x, etc. The Python library Idealo seems great for this. I've watched this tutorial on embedding python in rust with inline_python, and I'm wondering, are things really that simple? You could just call and use the python library in your rust code like you would normal python code? I'm assuming that their needs to be some conversion from the python types to rust types, but for a simple image this doesn't seem too complex. Does anyone have experience with embedding python in their rust app?
SwinIR
- Certain directories (e.g. SwinIR) are empty (version: Empire Media Science A1111 Web UI Installer)
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I used Real-ESRGAN to upscale my image, but if you zoom in you can see that “water particles” looks like some random lines and image overall looks cartoonish. Is there a way to fix it?
003_realSR_BSRGAN_DFOWMFC_s64w8_SwinIR-L_x4_GAN.pth
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Spatial-temporal denoising
SwinIR: https://github.com/JingyunLiang/SwinIR
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A Monster Hunter: World Virtual Photography Tutorial - YouTube
Upscalers that I use SwinIR https://github.com/JingyunLiang/SwinIR https://github.com/AUTOMATIC1111/stable-diffusion-webui (Use 'extras' tab for the upscaler function) Topaz Gigapixel AI https://www.topazlabs.com/gigapixel-ai
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what are the alternatives to letsenhance.io?
You could try out chaiNNer, it is a free local/offline application. There are a lot of (upscaling) models which you can download an use with it. You can for example try out SwinIR-L (link will start a model download) or any other model you like depending on your input images.
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[R] Swin transformer while using a rectangular attention window
the relative attention bias can be made non-square in the original implementation, there is a parameter window_size, at 7, that is forced to (7,7) directly, but you can change it easily. https://github.com/JingyunLiang/SwinIR/blob/main/models/network_swinir.py
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Robot dance animation with Robo-Diffusion (1024x576)
Use SwinIR medium model to upscale by 2 times. This will result in a video of 2048x1152.
- Help Need to get my VQGAN images to 10000 x 10000
- Made with Outpainting + Inpainting(original picture and promt in comments)
- Comparison of the 3 upscalers from AUTOMATIC1111's UI
What are some alternatives?
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
DeepCreamPy - Decensoring Hentai with Deep Neural Networks
MAX-Image-Resolution-Enhancer - Upscale an image by a factor of 4, while generating photo-realistic details.
waifu2x - Image Super-Resolution for Anime-Style Art
Real-ESRGAN-ncnn-vulkan - NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
3d-photo-inpainting - [CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
Ne2Ne-Image-Denoising - Deep Unsupervised Image Denoising, based on Neighbour2Neighbour training
chaiNNer - A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.