stylegan2-pytorch
first-order-model
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stylegan2-pytorch | first-order-model | |
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1901 | 49 | |
3,379 | 12,999 | |
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2.6 | 0.0 | |
6 months ago | about 2 months ago | |
Python | Jupyter Notebook | |
MIT License | GNU General Public License v3.0 or later |
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stylegan2-pytorch
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Are there jobs that have intersections between graphics and machine learning?
Generative networks like StyleGAN
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A developer on twitter asked an AI to generate party pictures…
It's interesting that AI generated pictures of people can get most things right but seemingly always struggles with teeth & fingers. If you check out thispersondoesnotexist.com the teeth are almost always goofy looking...
Teeth as well, check out thispersondoesnotexist.com you'll come across a lot of convincing looking people with odd teeth
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I guess we can just pull people out of thin air now.
https://thispersondoesnotexist.com/ has been around for 4 years now...
I remember there was https://thispersondoesnotexist.com/ Did it also work on StableDiffusion beneath?
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These are not real people. These are all images created by AI
Another great place to see AI generated faces: https://thispersondoesnotexist.com/
Check out https://thispersondoesnotexist.com/
Similarly check out This Person Does not Exist . com
There is this website called This Person Does Not Exist that shows you a random AI generated photo each time you refresh.
first-order-model
- d-id.com is an awesome AI tool to animate any character into a video and add human-like, yet artificial, voice-overs !
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Retro personal computer ads from the 1980s
I think the novel and interesting tech is still happening, its just that without the colorful ads for it on TV, and without the software being packaged up and sold with pretty box art that you can physically hold, it doesn't feel as much like a capital-E Experience. It's probably the Internet's fault that we don't do things like that anymore, but the upside is that we now have access to so many ideas and applications from all over, even ones that aren't commercially viable.
Some that look exciting to me are: an AI that lets you animate still photos realistically [1], a simple website that guides you to discover new parks, eateries, and other places near you [2], an AI that colorizes old black-and-white photos/video [3], a Street View style map of the game world from "The Legend of Zelda: Breath of the Wild", with some 1st person 360 degree photos [4], and a tiny game engine that lets you distribute your whole game physically via printed QR codes [5].
If marketing and graphic design people ever felt like getting together to do some 'side projects', I vote that they should make print ads for apps/websites that they like :)
[1] https://github.com/AliaksandrSiarohin/first-order-model
[2] https://randomlocation.xyz (https://randomlocation.xyz/help.txt for customization)
[3] https://github.com/jantic/DeOldify
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Reconstruct a face from multiple old photos of the same person? At different ages?
First Order Model
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Text to lips on photo
First Order Motion Model (Easy): You can give it an input image and a source video, and the movements from the video will be copied to the image. It has some janky-ness and I would recommend using an ai upscaller afterwards because the resolution isn't that high https://github.com/AliaksandrSiarohin/first-order-model
- Kun yrität maksaa kaasulaskun...
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Alternatives to First Order Motion?
This project was originally released 2 years ago, it allows for fast motion transfer from a video to a still image
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How to deploy a ML model as an API using Google Compute engine, Docker and flask
First of the model we are going to be making use of is a Deepfake model by the name of First Order Motion. Deepfakes you allow you create an artificial version of a person saying or doing an action, I first found about this particular model on two minute papers (an awesome YT channel for lovers of AI ⚡) and wanted to try it for myself. The video below talks more about the model.
NB: The best thing to do would be to edit the dockerfile and requirements.txt(can be seen above) then add the app.py to a forked version of this repo so the container image can be built successfully
- I animated this picture of my grand parents, proud owners of a liquor store in Southern France (late 50s).
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Anyone has link for code to this? Just to label some old photos and animate (still a beginner, dunno if you can animate or teach TF to do facial expressions)
You can use this repo with pytorch https://github.com/AliaksandrSiarohin/first-order-model I tried it locally with the voxceleb dataset which seems to be good with faces and got some fun results though it's restricted to 256 x 256 driving videos and source images
What are some alternatives?
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
SimSwap - An arbitrary face-swapping framework on images and videos with one single trained model!
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
Thin-Plate-Spline-Motion-Model - [CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
dalle-mini - DALL·E Mini - Generate images from a text prompt
avatarify - Avatars for Zoom, Skype and other video-conferencing apps.
Wav2Lip - This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.
waifu2x - Image Super-Resolution for Anime-Style Art
go-unsplash - Go Client for the Unsplash API