3d-photo-inpainting
sharp
3d-photo-inpainting | sharp | |
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22 | 97 | |
6,828 | 27,987 | |
0.1% | - | |
0.0 | 9.4 | |
8 months ago | 1 day ago | |
Python | JavaScript | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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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
sharp
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Next.js and Bunny CDN: Complete Guide to Image Uploading with Server Actions
Last thing left is to use our new upload function in our server action. Since I like to upload images in single format and have some more control over them, I will additionally use sharp library. For file name, I'll generate some random string using nanoid:
- Sharp – fast image conversion in Node.js
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Optimizing Image Display with Blur Placeholder and Lazyload
blur is a technique to blur images while reducing the file size surprisingly. blur works by enlarging the pixels of the image, which reduces the details of the image, and the number of colors also decreases, thus saving storage space. Sharp is a popular image processing library in Node.js, and it supports the blur function. After going through the blur function, the image size at this point is only a few KB, which is reasonable for an image placeholder in the article.
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Organize the mess of your photo folders with Node
sharp
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Creating Chess Board SVGs, PNGs, and GIFs
For simplicity, I will be generating PNGs with JavaScript/Node and the Sharp image library. Any library that can convert between pixel arrays and image files will make the process quite straightforward.
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My Journey to Accelerate Load Times in Heavy Frontend
There is also a library that Next.js itself uses: sharp. It can be setup as Node.js service. I even played around a little: image-proxy-service
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Automated Image Compression: A Vite Plugin Using Sharp
Sharp Documentation: Link
- Using SVG to create simple sparkline charts
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JavaScript Gom Jabbar
ESLint does an amazing job in detecting floating promises. I've not had it miss one, ever. When adding this to a project, I've discovered multiple accidental bugs due to a missing "await" keyword--bugs that were extremely subtle and intermittent in many cases.
The only thing it can't do is determine that you actually did handle the promise later. Which is fine. It's a LINTING RULE, and false positives are the name of the game.
What's BAD is when you accidentally miss handling a promise at all. It's an invisible error without the linting rule.
Your other comments...don't even make sense. You're going to build a Lanczos filter by hand? Or you're only going to ... compile ImageMagick to WebAssembly?!, ... an implementation which is tremendously slower (nearly unusably so for large images) than that of Sharp:
https://www.npmjs.com/package/sharp
... which is simply an import away?
No, what you're doing is called "motivated reasoning." You've concluded that Deno is the best, and you're reinterpreting all of my complaints in convoluted ways to support your predetermined conclusion.
Standard fanboy behavior. Or troll behavior. I cite Poe's Law as why it's impossible to tell the difference.
- How does next/image work?
What are some alternatives?
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
jimp - An image processing library written entirely in JavaScript for Node, with zero external or native dependencies.
cupscale - Image Upscaling GUI based on ESRGAN
squoosh - Make images smaller using best-in-class codecs, right in the browser.
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
gm - GraphicsMagick for node
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Next.js - The React Framework
caire - Content aware image resize library
pica - Resize image in browser with high quality and high speed
BoostingMonocularDepth
sveltekit-image-plugin - SvelteKit demo code for using vite-imagetools to add cached, responsive, Next-Gen images to a SvelteKit site with no cumulative layout shift.