Alternatives and similar repositories for CLIP-AD:

Users that are interested in CLIP-AD are comparing it to the libraries listed below

• hq-deng / AnoVL
  ☆50Updated last year
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆100Updated 4 months ago
• xcyao00 / ResAD
  [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…
  ☆58Updated 6 months ago
• xzhang-t / DiffAD
  [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model
  ☆26Updated last year
• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆77Updated 2 months ago
• TencentYoutuResearch / AnomalyDetection_Real-IAD
  ☆50Updated 10 months ago
• FzJun26th / FastRecon
  ☆39Updated last year
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆97Updated 9 months ago
• guojiajeremy / ReContrast
  ☆40Updated 9 months ago
• jungyg / TailedCore
  Official implementation of TailedCore(CVPR25)
  ☆17Updated last month
• xiaozhen228 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆79Updated 6 months ago
• xcyao00 / FOD
  [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…
  ☆45Updated 6 months ago
• guojiajeremy / Dinomaly
  ☆107Updated last month
• MaticFuc / ECCV_TransFusion
  Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
  ☆37Updated 3 weeks ago
• liutongkun / ComAD
  official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
  ☆43Updated last year
• zqhang / PointAD
  Official implementation of PointAD (NeurIPS 2024)
  ☆56Updated last week
• Mwxinnn / AA-CLIP
  The official implementation of AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
  ☆53Updated this week
• CASIA-IVA-Lab / FiLo
  Official implementation of paper FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization (ACM MM 2024…
  ☆64Updated 9 months ago
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆43Updated 5 months ago
• Vanssssry / One-For-All-Few-Shot-Anomaly-Detection
  Official implement of ICLR 2025 "One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning"
  ☆13Updated last month
• Haoyan-Guan / CAReg
  ☆28Updated 10 months ago
• caiyuxuan1120 / DAF
  ☆29Updated last year
• LucStrater / GeneralAD
  GeneralAD
  ☆53Updated 4 months ago
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆35Updated 5 months ago
• scortexio / patchcore-few-shot
  Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"
  ☆57Updated last year
• HUST-SLOW / AnomalyNCD
  [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…
  ☆50Updated last month
• wogur110 / PNI_anomaly_detection
  Official code for the paper "PNI : Industrial Anomaly Detection using Position and Neighborhood Information"
  ☆45Updated last year
• TaoTao9 / EasyNet
  ☆17Updated 11 months ago
• oopil / PSAD_logical_anomaly_detection
  ☆46Updated 2 months ago
• gaobb / AnoGen
  [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection
  ☆35Updated 6 months ago