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[D] How do I make a model which takes a bedroom image as input give an output of different design of bedroom related to input image?
1 project | reddit.com/r/MachineLearning | 27 Mar 2021
source link: https://github.com/podgorskiy/ALAE
How to Run stargan2 on Google Colab
2 projects | dev.to | 20 Jul 2021
This version of StarGAN2 (coined as 'Post-modern Style Transfer') is intended mostly for fellow artists, who rarely look at scientific metrics, but rather need a working creative tool. At least, this is what I use nearly daily myself. Here are few pieces, made with it: Terminal Blink, Occurro, etc. Tested on Pytorch 1.4-1.8. Sequence-to-video conversions require FFMPEG. For more explicit details refer to the original implementation.
What are some alternatives?
jukebox - Code for the paper "Jukebox: A Generative Model for Music"
AvatarMe - Public repository for the CVPR 2020 paper AvatarMe and the TPAMI 2021 AvatarMe++
simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch
generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
lightweight-gan - Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁
aitg - plug and play gpt-2/3 (and more) for http api or command line!
meshed-memory-transformer - Meshed-Memory Transformer for Image Captioning. CVPR 2020
gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"
stargan2 - StarGAN2 for practice
StyleFlow - StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)
sequitur - Library of autoencoders for sequential data