gangealing
clean-fid
| gangealing | clean-fid | |
|---|---|---|
| 3 | 3 | |
| 1,008 | 863 | |
| - | - | |
| 0.0 | 2.6 | |
| over 1 year ago | 2 months ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | MIT License |
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gangealing
clean-fid
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[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.
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[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.
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[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
What are some alternatives?
DirectVoxGO - Direct voxel grid optimization for fast radiance field reconstruction.
pytorch-fid - Compute FID scores with PyTorch.
StyleGAN.pytorch - A PyTorch implementation for StyleGAN with full features.
SDEdit - PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
MonoScene - [CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
torch-fidelity - High-fidelity performance metrics for generative models in PyTorch
sam_inversion - [CVPR 2022] GAN inversion and editing with spatially-adaptive multiple latent layers
Anime2Sketch - A sketch extractor for anime/illustration.
style-aware-discriminator - CVPR 2022 - Official PyTorch implementation of "A Style-Aware Discriminator for Controllable Image Translation"
generative-evaluation-prdc - Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch