contrastive-unpaired-translation VS mmagic

Compare contrastive-unpaired-translation vs mmagic and see what are their differences.

mmagic

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc. (by open-mmlab)
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contrastive-unpaired-translation mmagic
6 5
2,096 6,555
- 2.4%
2.1 8.7
8 months ago about 1 month ago
Python Jupyter Notebook
GNU General Public License v3.0 or later Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

contrastive-unpaired-translation

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.

mmagic

Posts with mentions or reviews of mmagic. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-18.

What are some alternatives?

When comparing contrastive-unpaired-translation and mmagic you can also consider the following projects:

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

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

Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

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

Image-Super-Resolution-via-Iterative-Refinement - Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

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

Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset

PyTorch-GAN - PyTorch implementations of Generative Adversarial Networks.

cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images

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

Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".