cycle-gan-pytorch
joliGEN
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| cycle-gan-pytorch | joliGEN | |
|---|---|---|
| 2 | 4 | |
| 9 | 198 | |
| - | 6.1% | |
| 3.6 | 9.4 | |
| about 2 years ago | 2 days ago | |
| Python | Python | |
| - | GNU General Public License v3.0 or later |
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cycle-gan-pytorch
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Simple Cycle-GAN implementation using Pytorch
Hey, I wanted to share again my Cycle-GAN implementation: https://github.com/theopfr/cycle-gan-pytorch
- Cycle-GAN implementation in Pytorch
joliGEN
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[D] Question about using diffusion to denoise images
Absolutely, I do second this, Palette is what you are looking for. We have a modified version in JoliGAN, with PR for various conditioning, including masks and sketches, cf https://github.com/jolibrain/joliGAN/pull/339
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[D] Is the GAN architecture currently old-fashioned?
We use https://github.com/jolibrain/joliGAN which is a lib for image2image with additional "semantic" constraints. I.e. when there's a need to conserve labels, physics, anything between the two domains. This lib aggregates and improves on existing works.
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[P] Real-time AR for jewelry virtual try on that looks real, done with joliGAN, based on a few 2D videos and no 3D model
We thought we'd share some technical details since the underlying code, JoliGAN is Open Source, https://github.com/jolibrain/joliGAN
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[D] Augmentation in GAN
Look at DiffAug, deceive, and such. It's all implemented into Joligan, https://github.com/jolibrain/joliGAN We're able to train with small datasets, though not always optimally. With large datasets results are outstanding.
What are some alternatives?
pytorch-neural-style-transfer - Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.
hifigan-denoiser - HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
AI-Art - PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!
PassGAN - A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)
BlendGAN - Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021)
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
style-aware-discriminator - CVPR 2022 - Official PyTorch implementation of "A Style-Aware Discriminator for Controllable Image Translation"
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
ALAE - [CVPR2020] Adversarial Latent Autoencoders