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
Diagnostics for autoregressive video world models - quantifies camera drift, temporal jitter, memory attenuation, and quality decay from rollouts.
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
Image generation workflow using Stable Diffusion XL, Img2Img semantic editing, ControlNet Canny guidance, LPIPS, and PSNR evaluation.
AI system for denoising, deblurring, inpainting & artifact removal — Gradio UI + CLI + PSNR/SSIM/LPIPS metrics
Security-oriented learning project implementing image steganography in C with LSB, Spread Spectrum, and texture-aware embedding, paired with a Python attack-analysis suite for evaluating signal degradation under compression and blur.
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".
Pipeline em Python para comparar uma malha 3D de referência com uma reconstruída: alinhamento ICP, Chamfer/Hausdorff, RMSE, mapas de calor e métricas perceptuais (PSNR, SSIM, LPIPS).
Pipeline for generating naturalistic object-scene images with Stable Diffusion XL for controlled experiments in cognitive science.
Official PyTorch code of "ScrambleMix: A Privacy-Preserving Image Processing for Edge-Cloud Machine Learning" (PSIVT 2023). Also in pip install scramblekit
Unified framework connecting perceptual distortion metrics (LPIPS, DISTS, SSIM, MSE) to rate-distortion theory via Hessian analysis.
This repository contains a dataset with subjective test results.
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