3d-photo-inpainting
Real-ESRGAN
3d-photo-inpainting | Real-ESRGAN | |
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22 | 131 | |
6,828 | 26,111 | |
0.1% | - | |
0.0 | 2.7 | |
8 months ago | 20 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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3d-photo-inpainting
- I have an AI Generated jpg. I want to add subtle looping animation to it
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Whats the latest and greatest in 3d img2img/txt2img?
If you are looking to create actual 3d models, the DepthMap extension does have a function to create PLY models with vertex color information, and to render clips with simple camera moves from that extracted 3d scene, including inpainting (as per the 3d-photo-inpainting paper)
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Quick test of AI and Blender with camera projection.
The depthmap extension for A1111 has implemented the 3d-photo-inpainting code that is doing that kind of thing. That's what I used to use, first on a Colab, and then adapted for windows so I could run it locally. But it's much more convenient to do it directly from the Automatic1111 WebUI.
- Is there an extension that does this?
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Generate multiple complex subjects on a single image all at once with a depth aware custom extension!
But things are even older than stable diffusion.
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Coronal mass ejection of the sun. Image from r/space. Crossview ML generated
It's a slightly modified version of https://shihmengli.github.io/3D-Photo-Inpainting/
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[R] META researchers generate realistic renders from unseen views of any human captured from a single-view RGB-D camera
Thanks! I barely did anything though, just took a deep dream'ed photo made by another artist (Daniel Ambrosi) and passed it through this: https://shihmengli.github.io/3D-Photo-Inpainting/ (github and colab at bottom). Didn't even have to come up with the camera trajectory, was one of the presets in the repo
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Tumultuous Seas
pretty sure it's this: https://github.com/vt-vl-lab/3d-photo-inpainting
- These are the raw frames I got from Gaugan2, but I'll be posting modified versions in the comment section.
- 3D Photography Using Context-Aware Layered Depth Inpainting
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.
What are some alternatives?
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
ESRGAN - ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
cupscale - Image Upscaling GUI based on ESRGAN
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
caire - Content aware image resize library
BSRGAN - Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
BoostingMonocularDepth
waifu2x - Image Super-Resolution for Anime-Style Art
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset