MVSPIN_NEW VS TryOnGAN

Compare MVSPIN_NEW vs TryOnGAN and see what are their differences.

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MVSPIN_NEW TryOnGAN
1 1
20 83
- -
10.0 0.0
over 3 years ago over 2 years ago
Python 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.

MVSPIN_NEW

Posts with mentions or reviews of MVSPIN_NEW. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-09.
  • [P] Show what virtually trying on clothes looks like
    2 projects | /r/MachineLearning | 9 Apr 2022
    I'm not that familiar with this space, hoping you all can recommend me relevant papers/books/repositories to look at. I've found things like e.g. https://github.com/leezhongguo/MVSPIN_NEW as a starting place, but that seems like it'll give me the human geometry side of it, but not necessarily the "merge 3D representation of piece of clothing with learned 3D representation of human" side of it.

TryOnGAN

Posts with mentions or reviews of TryOnGAN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-09.

What are some alternatives?

When comparing MVSPIN_NEW and TryOnGAN you can also consider the following projects:

pytorch-fid - Compute FID scores with PyTorch.

stable-fashion - Stable Fashion: A prompt based virtual try on repository

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

ALAE - [CVPR2020] Adversarial Latent Autoencoders