vision-aided-gan VS contrastive-unpaired-translation

Compare vision-aided-gan vs contrastive-unpaired-translation and see what are their differences.

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vision-aided-gan contrastive-unpaired-translation
3 6
356 1,892
- -
2.2 0.0
9 months ago 3 months ago
Python Python
MIT License GNU General Public License v3.0 or later
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Posts with mentions or reviews of vision-aided-gan. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-16.


Posts with mentions or reviews of contrastive-unpaired-translation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-09.
  • [D] What is current SOTA in Image to Image Translation?
    3 projects | /r/MachineLearning | 9 Mar 2022
    For unpaired image-to-image translation, the SOTA is probably Contrastive Unpaired Translation, which is developed by the same group that developed CycleGAN and is kind of the successor algorithm.
  • [P] Can't finish my master's thesis. What to do?
    4 projects | /r/MachineLearning | 19 Jan 2022
    Are you using your synthetic 3D character views directly or do you use some kind of domain adaptation on them? It's been a while since I've worked with such techniques and it was more focused on semantic segmentation, so I can't tell you much about recent work in this area, but maybe you can find some inspiration here: You could for example try training something like CUT on an unpaired set of images from your 3D models and a set of real photos of soccer players, and then apply the synthetic-to-real model to your synthetic images to make them fit better into the distribution of real images.
    4 projects | /r/MachineLearning | 19 Jan 2022
    Here is link number 1 - Previous text "CUT"

What are some alternatives?

When comparing vision-aided-gan and contrastive-unpaired-translation you can also consider the following projects:

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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

vrn - :man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

pytorch-AdaIN - Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

mmagic - OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, image/video restoration/enhancement, etc.

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.

cartoonize - A demo webapp to convert images and videos into cartoon!

sketchedit - SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches, CVPR2022

PyTorch-GAN - PyTorch implementations of Generative Adversarial Networks.

pytorch-gans - PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

StyleSwin - [CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation