PyTorch Image Quality Assessement package
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Updated
Oct 30, 2023 - Python
PyTorch Image Quality Assessement package
Comparison of IQA models in Perceptual Optimization
A simple and useful implementation of LPIPS.
Unofficial Implementation of E-LatentLPIPS(Ensembled-LatentLPIPS) of Diffusion2GAN
Adversarial Pertubation System for images that specifically targets image scrapers for unauthorized AI uses. Applies imperceptible perturbations using a PGD attack that specifically targets the CLIP vision model. Attack constrained by LPIPS perceptual loss and saliency mask to preserve visual fidelity.
Deep learning-based image restoration pipeline with DnCNN, NAFNet, and legacy joint models. Includes PSNR/SSIM/LPIPS evaluation and visual comparisons.
High-Performance 2D Gaussian Splatting Renderer for Adaptive Image Representation and Compression
This repository contains the source code associated with the paper titled "Implementation of a conditional latent diffusion-based generative model to synthetically create unlabeled histopathological images".
This repository contains a dataset with subjective test results.
(WIP) A primitive photo editor for for exploring lpips and creating improved stylegan datasets.
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