PyTorch 图像质量评估包

lpips 开源项目推荐(31 个)
lpips 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 31 个仓库感知优化中IQA模型的比较
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
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
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.
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).
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.
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.
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.
Official PyTorch code of "ScrambleMix: A Privacy-Preserving Image Processing for Edge-Cloud Machine Learning" (PSIVT 2023). Also in pip install scramblekit
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/lpips。
- 该话题在 GitHub 上共有 31 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1052 Star,覆盖 4 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。