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
Deep learning-based image restoration pipeline with DnCNN, NAFNet, and legacy joint models. Includes PSNR/SSIM/LPIPS evaluation and visual comparisons.
Image generation workflow using Stable Diffusion XL, Img2Img semantic editing, ControlNet Canny guidance, LPIPS, and PSNR evaluation.
High-Performance 2D Gaussian Splatting Renderer for Adaptive Image Representation and Compression
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".
Polygon-based genetic algorithm for evolving target images using layered translucent primitives and perceptual image-quality metrics.
Forging image watermarks by scheme identification and native re-encoding (TML 2026 Task 4). Best public S_final = 0.8364.
First-Divergence Consequence Analysis for masked visual generators: theory, audited coupling/instrumentation, and reproducible quantization-shock experiments.
NAFNet-SR (2.39M parameters) deep learning solution for semiconductor wafer image restoration and 2x super-resolution. Achieves 28.98 dB PSNR / 0.776 SSIM (+5.97 dB gain) with real-time GPU inference. KLA Hackathon 2026.
This repository contains a dataset with subjective test results.
Unified framework connecting perceptual distortion metrics (LPIPS, DISTS, SSIM, MSE) to rate-distortion theory via Hessian analysis.
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