TryOnGAN
TryOnGAN: Unofficial Implementation (by ofnote)
pytorch-fid
Compute FID scores with PyTorch. (by mseitzer)
Our great sponsors
| TryOnGAN | pytorch-fid | |
|---|---|---|
| 1 | 5 | |
| 83 | 3,065 | |
| - | - | |
| 0.0 | 5.9 | |
| over 2 years ago | about 1 month ago | |
| Python | Python | |
| 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.
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.
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.
-
[P] Show what virtually trying on clothes looks like
unofficial implementation : https://github.com/ofnote/TryOnGAN
pytorch-fid
Posts with mentions or reviews of pytorch-fid.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-10.
-
[D] A better way to compute the Fréchet Inception Distance (FID)
The Fréchet Inception Distance (FID) is a widespread metric to assess the quality of the distribution of a image generative model (GAN, Stable Diffusion, etc.). The metric is not trivial to implement as one needs to compute the trace of the square root of a matrix. In all PyTorch repositories I have seen that implement the FID (https://github.com/mseitzer/pytorch-fid, https://github.com/GaParmar/clean-fid, https://github.com/toshas/torch-fidelity, ...), the authors rely on SciPy's sqrtm to compute the square root of the matrix, which is unstable and slow.
-
[D] Are there any good FID and KID metrics implementations existing that are compatible with pytorch?
https://github.com/GaParmar/clean-fid/ is my goto. https://github.com/mseitzer/pytorch-fid isn't bad either.
-
[P] Frechet Inception Distance
https://github.com/mseitzer/pytorch-fid for example this here. The code is quite clean and clear
-
SSIM (Structural Similarity Index Metric )
Didn't get your problem statement but you can also consider FFID score to measure the similarity between two images. Check out: https://github.com/mseitzer/pytorch-fid
-
[R] Maximum likelihood estimation can fail due to "Manifold Overfitting"
Author here, thanks for the comment! The example in 3.1 is not meant as a realistic example, it is meant as an intuitive explanation of how the manifold overfitting issue can arise. As for FID scores, we intend on releasing our code soon, but we used the standard PyTorch implementation (https://github.com/mseitzer/pytorch-fid).
What are some alternatives?
When comparing TryOnGAN and pytorch-fid you can also consider the following projects:
stable-fashion - Stable Fashion: A prompt based virtual try on repository
clean-fid - PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
MVSPIN_NEW
torch-fidelity - High-fidelity performance metrics for generative models in PyTorch
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
mugl
ALAE - [CVPR2020] Adversarial Latent Autoencoders
stylegan2-ada-pytorch - StyleGAN2-ADA - Official PyTorch implementation
DE-GAN - Document Image Enhancement with GANs - TPAMI journal