Real-ESRGAN
backgroundremover
| Real-ESRGAN | backgroundremover | |
|---|---|---|
| 131 | 86 | |
| 26,111 | 6,264 | |
| - | - | |
| 2.7 | 7.0 | |
| 22 days ago | 3 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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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.
backgroundremover
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Ask HN: What side projects landed you a job?
Not a job I took. But when I launched https://github.com/nadermx/backgroundremover I got offered a high level position in a a photo company via my email which at the time was on my GitHub profile.
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Image Upscaler AI
UI looks identical to https://backgroundremoverai.com/ ?
- Ask HN: Would you pay for a SaaS even if its open source and can be selfhosted?
- Show HN: Image background removal without annoying subscriptions
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Open source Background Remover: Remove Background from images and video using AI
I think this is what you wanted? https://github.com/nadermx/backgroundremover/tree/main/dist
- Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.
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BackgroundRemover 0.2.1 - Remove Background from Video and Images using AI
This is a website.
What are some alternatives?
ESRGAN - ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
segment-anything - The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
rembg-greenscreen - Rembg Video Virtual Green Screen Edition
BSRGAN - Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
rembg - Rembg is a tool to remove images background
waifu2x - Image Super-Resolution for Anime-Style Art
Linux-Fake-Background-Webcam - Faking your webcam background under GNU/Linux, now supports background blurring, animated background, colour map effect, hologram effect and on-demand processing.
Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset
obs-backgroundremoval - An OBS plugin for removing background in portrait images (video), making it easy to replace the background when recording or streaming.