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.
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.
Pipeline for generating naturalistic object-scene images with Stable Diffusion XL for controlled experiments in cognitive science.
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".
Unified framework connecting perceptual distortion metrics (LPIPS, DISTS, SSIM, MSE) to rate-distortion theory via Hessian analysis.
First-Divergence Consequence Analysis for masked visual generators: theory, audited coupling/instrumentation, and reproducible quantization-shock experiments.
This repository contains a dataset with subjective test results.
Polygon-based genetic algorithm for evolving target images using layered translucent primitives and perceptual image-quality metrics.
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