cycle-gan-pytorch VS BlendGAN

Compare cycle-gan-pytorch vs BlendGAN and see what are their differences.

cycle-gan-pytorch

This repository contains an implementation of the Cylce-GAN architecture for style transfer along with instructions to train on an own dataset. (by theopfr)
Cyclegan cycle-gan Gan Machine Learning style-transfer generative-adversarial-network generative-art Pytorch
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BlendGAN

Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021) (by onion-liu)
generative-adversarial-network Gan image-generation style-transfer
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cycle-gan-pytorch BlendGAN
2 1
9 498
- -
3.6 0.0
about 2 years ago over 1 year ago
Python Python
- MIT License
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cycle-gan-pytorch

Posts with mentions or reviews of cycle-gan-pytorch. We have used some of these posts to build our list of alternatives and similar projects.

BlendGAN

Posts with mentions or reviews of BlendGAN. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing cycle-gan-pytorch and BlendGAN you can also consider the following projects:

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.

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.

AI-Art - PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!

Styleformer - A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

joliGEN - Generative AI Image Toolset with GANs and Diffusion for Real-World Applications

Few-Shot-Patch-Based-Training - The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

image_edit - Demos of neural image editing

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

cycle-gan-pytorch vs pytorch-neural-style-transfer BlendGAN vs PaddleGAN cycle-gan-pytorch vs AI-Art BlendGAN vs Styleformer cycle-gan-pytorch vs joliGEN BlendGAN vs Few-Shot-Patch-Based-Training cycle-gan-pytorch vs contrastive-unpaired-translation BlendGAN vs image_edit cycle-gan-pytorch vs pytorch-CycleGAN-and-pix2pix