CycleGAN
anycost-gan
CycleGAN | anycost-gan | |
---|---|---|
2 | 1 | |
12,138 | 769 | |
- | 0.3% | |
2.5 | 2.5 | |
8 months ago | 7 months ago | |
Lua | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CycleGAN
-
good computer vision or deep learning projects in github
CycleGAN (GitHub: https://github.com/junyanz/CycleGAN) is a deep learning-based image-to-image translation approach without paired examples, implemented in PyTorch.
-
AI will take over all the jobs
It's image translation, check this out https://github.com/junyanz/CycleGAN
anycost-gan
What are some alternatives?
pix2pix - Image-to-image translation with conditional adversarial nets
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
Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
PaddleGAN - PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
Anime-face-generation-DCGAN-webapp - A port of my Anime face generation using Pytorch into a Webapp
contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
stylegan-waifu-generator - Generate your waifu with styleGAN, stylegan老婆生成器
faceswap-GAN - A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
DeepSIM - Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)