Paint-by-Example
clean-fid
| Paint-by-Example | clean-fid | |
|---|---|---|
| 2 | 3 | |
| 985 | 876 | |
| - | - | |
| 3.3 | 2.4 | |
| 6 months ago | 19 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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Paint-by-Example
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This AI Paper Introduces A Novel Image Editing Scenario Called Paint By Example Where You Can Edit A Scene By Painting With A Conditional Image
Quick Read: https://www.marktechpost.com/2022/12/07/this-ai-paper-introduces-a-novel-image-editing-scenario-called-paint-by-example-where-you-can-edit-a-scene-by-painting-with-a-conditional-image/ Paper: https://arxiv.org/pdf/2211.13227.pdf Github link: https://github.com/Fantasy-Studio/Paint-by-Example
- I've downloaded an Exemplar-Guided Text to Image Generator and I need help using it.
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?
Paint-by-Sketch - Stable Diffusion-based image manipulation method with a sketch and reference image
pytorch-fid - Compute FID scores with PyTorch.
Stable-Diffusion-Latent-Space-Explorer - Codebase for performing various experiments with Stable Diffusion, supported by the diffusers library.
SDEdit - PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
DeepCache - [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free
torch-fidelity - High-fidelity performance metrics for generative models in PyTorch
Anime2Sketch - A sketch extractor for anime/illustration.
gangealing - Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)
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
OASIS - Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)