lpips

PyTorch Image Quality Assessement package

Comparison of IQA models in Perceptual Optimization

A simple and useful implementation of LPIPS.

A U-net GAN for jpeg artifact removal

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.

多种音频评估方法复现

High-Performance 2D Gaussian Splatting Renderer for Adaptive Image Representation and Compression

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.

A novel framework for Single Image Super Resolution using Generative Adversarial Network (GAN), namely "Wide Activation with Enhanced Perception Super Resolution GAN (WAEP SRGAN)".

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

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 for generating naturalistic object-scene images with Stable Diffusion XL for controlled experiments in cognitive science.

VLM-initialized, metric-guided prompt inversion — recovering text prompts that reproduce target images through a fixed Latent Consistency Model, scored by CLIP/LPIPS/MSE and refined via LLM feedback.

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.

Lightweight no-reference image-quality assessment (NR-IQA) with validated PSNR/SSIM/LPIPS baselines on KADID-10k and TID2013.

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.