clean-fid
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022] (by GaParmar)
torch-fidelity
High-fidelity performance metrics for generative models in PyTorch (by toshas)
| clean-fid | torch-fidelity | |
|---|---|---|
| 3 | 3 | |
| 863 | 872 | |
| - | - | |
| 2.6 | 8.1 | |
| 2 months ago | 3 months ago | |
| Python | Python | |
| MIT License | 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.
clean-fid
Posts with mentions or reviews of clean-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.
-
[D] Comparing the efficiency of different GAN models
The best repo for FID (as far as I know) is this one: https://github.com/GaParmar/clean-fid
torch-fidelity
Posts with mentions or reviews of torch-fidelity.
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?
Try torch-fidelity : https://github.com/toshas/torch-fidelity
-
How to compute Inception score for 3d GAN
You can, but two ingredients are required: a rich pretrained feature extractor for your data to replace InceptionV3 pretrained on ImageNet, and https://github.com/toshas/torch-fidelity, which can be used with custom feature extractors (also supports FID and KID).
What are some alternatives?
When comparing clean-fid and torch-fidelity you can also consider the following projects:
pytorch-fid - Compute FID scores with PyTorch.
evaluate - 🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
SDEdit - PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
rexmex - A general purpose recommender metrics library for fair evaluation.
Anime2Sketch - A sketch extractor for anime/illustration.
gangealing - Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)
avalanche - Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
generative-evaluation-prdc - Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
trajectopy-core - Trajectopy - Trajectory Evaluation in Python
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
trajectopy - Trajectopy - Trajectory Evaluation in Python
clean-fid vs pytorch-fid
torch-fidelity vs evaluate
clean-fid vs SDEdit
torch-fidelity vs rexmex
clean-fid vs Anime2Sketch
torch-fidelity vs pytorch-fid
clean-fid vs gangealing
torch-fidelity vs avalanche
clean-fid vs generative-evaluation-prdc
torch-fidelity vs trajectopy-core
clean-fid vs pytorch-CycleGAN-and-pix2pix
torch-fidelity vs trajectopy