Template-based Feature Aggregation Network for industrial anomaly detection(EAAI-2024)

[AAAI 2024] AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.

REB：Reducing Biases in Representation for Industrial Anomaly Detection

Low-Shot Unsupervised Visual Anomaly Detection via Sparse Feature Representation

The official implementation of the paper DADF for industrial VAD

A method for detecting anomalies consisting of unusual combinations of normal elements using set features

official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"

An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow

The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"

Implementation for paper:"Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection"

Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535

Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"

This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.

This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially o…

PyTorch implementation of normalizing flow models

Global Constraint Anomaly Detection

Industrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.

Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper.

Implementation of ConvMixer for "Patches Are All You Need? 🤷"