Alternatives and similar repositories for URD:

Users that are interested in URD are comparing it to the libraries listed below

• luow23 / INP-Former
  [CVPR 2025] official implementation of “Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection”
  ☆21Updated 3 weeks ago
• xzhang-t / DiffAD
  [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model
  ☆25Updated 10 months ago
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆41Updated 4 months ago
• hyao1 / GLAD
  The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…
  ☆80Updated 2 weeks ago
• HUST-SLOW / AnomalyNCD
  [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…
  ☆37Updated 9 months ago
• blaz-r / SuperSimpleNet
  [ICPR 2024] Official implementation of SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect…
  ☆44Updated 6 months ago
• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆76Updated 3 weeks ago
• SimonThomine / RememberingNormality
  Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"
  ☆16Updated 10 months ago
• Haoyan-Guan / CAReg
  ☆25Updated 9 months ago
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆95Updated 7 months ago
• guojiajeremy / Dinomaly
  ☆91Updated last month
• Ehteshamciitwah / MSFR
  This is official implementation of Multi-scale feature reconstruction network for industrial anomaly detection
  ☆11Updated 4 months ago
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆95Updated 3 months ago
• wogur110 / PNI_anomaly_detection
  Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"
  ☆43Updated last year
• MaticFuc / ECCV_TransFusion
  Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
  ☆34Updated 2 weeks ago
• EnquanYang2022 / 3CAD
  AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control
  ☆37Updated 2 months ago
• gasharper / PyramidFlow
  [CVPR 2023] PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow
  ☆61Updated last year
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆35Updated 4 months ago
• M-3LAB / open-iad
  Image anomaly detection benchmark in industrial manufacturing
  ☆132Updated last month
• xcyao00 / ResAD
  [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…
  ☆56Updated 5 months ago
• flyinghu123 / CPR
  This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisec…
  ☆98Updated 5 months ago
• YUL-git / GlocalCLIP
  Official implementation of the paper 'GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection'
  ☆16Updated last week
• FFDD-diffusion / DefectDiffu
  ☆13Updated 8 months ago
• oopil / PSAD_logical_anomaly_detection
  ☆43Updated last month
• ShuaiLYU / REB
  REB：Reducing Biases in Representation for Industrial Anomaly Detection
  ☆24Updated last year
• gaobb / AnoGen
  [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection
  ☆32Updated 4 months ago
• ShuaiLYU / MVREC
  Official source code for MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context.(AAAI 2025)
  ☆17Updated 2 months ago
• FuNz-0 / PromptAD
  Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
  ☆139Updated 6 months ago
• ByChelsea / CLIP-AD
  CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.
  ☆32Updated last year
• ZZZBBBZZZ / MulSen-AD
  A Dataset and Benchmark for Multi-Sensor Anomaly Detection
  ☆29Updated last week