stargan-v2
StarGAN v2 - Official PyTorch Implementation (CVPR 2020) (by clovaai)
AvatarMe
Public repository for the CVPR 2020 paper AvatarMe and the TPAMI 2021 AvatarMe++ (by lattas)
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stargan-v2 | AvatarMe | |
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1 | 1 | |
3,418 | 649 | |
0.8% | - | |
0.0 | 4.0 | |
almost 1 year ago | about 2 years ago | |
Python | ||
GNU General Public License v3.0 or later | - |
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.
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.
stargan-v2
Posts with mentions or reviews of stargan-v2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-20.
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How to Run stargan2 on Google Colab
This version of StarGAN2 (coined as 'Post-modern Style Transfer') is intended mostly for fellow artists, who rarely look at scientific metrics, but rather need a working creative tool. At least, this is what I use nearly daily myself. Here are few pieces, made with it: Terminal Blink, Occurro, etc. Tested on Pytorch 1.4-1.8. Sequence-to-video conversions require FFMPEG. For more explicit details refer to the original implementation.
AvatarMe
Posts with mentions or reviews of AvatarMe.
We have used some of these posts to build our list of alternatives
and similar projects.
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Where to start with the software side of Disney's latest single shot paper?
Some of the more recent ones I've seen with really good results like AvatarMe always say they will release code but don't. However, AvatarMe just updated their readme and say you can request the code / dataset if you are using it for research, so maybe I'd start there because I don't expect Disney would give you that. You might be able to take what they're doing and add some of Disney's stuff to it.
What are some alternatives?
When comparing stargan-v2 and AvatarMe you can also consider the following projects:
ALAE - [CVPR2020] Adversarial Latent Autoencoders
raymarching-workshop - An Introduction to Raymarching
stargan2 - StarGAN2 for practice
CVPR2024-Papers-with-Code - CVPR 2024 论文和开源项目合集
VIBE - Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
Texture - Smooth asynchronous user interfaces for iOS apps.
meshed-memory-transformer - Meshed-Memory Transformer for Image Captioning. CVPR 2020
lo-rez - A low-resolution view on a tiny Minecraft
cycles - The Cycles Render Engine - official mirror