Alternatives and similar repositories for VarAD

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

• MaticFuc / ECCV_TransFusion
  Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
  ☆41Updated 5 months ago
• Tokichan / CSAD
  Official implementation of the paper "CSAD: Unsupervised Component Segmentation for Logical Anomaly Detection."
  ☆55Updated last month
• 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"
  ☆21Updated 4 months ago
• EnquanYang2022 / 3CAD
  AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control
  ☆48Updated 5 months ago
• zhangzilongc / SOFS
  ☆32Updated 7 months ago
• xcyao00 / ResAD
  [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…
  ☆72Updated 10 months ago
• HUST-SLOW / AnomalyNCD
  [CVPR2025] AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios. Paper is available at https://arxiv.org/abs/2410.14…
  ☆106Updated 3 weeks ago
• hito2448 / URD
  [AAAI 2025] PyTorch Implementation of "Unlocking the Potential of Reverse Distillation for Anomaly Detection".
  ☆29Updated 4 months ago
• jungyg / TailedCore
  Official implementation of TailedCore(CVPR25)
  ☆20Updated 3 months ago
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆104Updated last year
• gaobb / MetaUAS
  [NeurIPS 2024] MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
  ☆64Updated 3 weeks ago
• xiaozhen228 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆95Updated 3 months ago
• ByChelsea / CLIP-AD
  CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.
  ☆38Updated last year
• xiaozhen228 / Bayes-PFL
  (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"
  ☆33Updated 3 months ago
• Ehteshamciitwah / MSFR
  This is official implementation of Multi-scale feature reconstruction network for industrial anomaly detection
  ☆15Updated 2 months ago
• farzad-bz / DeCo-Diff
  This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…
  ☆44Updated last month
• hyao1 / GLAD
  The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…
  ☆106Updated 4 months ago
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆59Updated 3 months ago
• HUST-SLOW / MuSc
  [ICLR2024] MuSc : Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images. The original …
  ☆14Updated last year
• cqylunlun / PBAS
  [TCSVT 2024] Official Implementation for "Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection"
  ☆29Updated 2 months ago
• CVL-hub / KAG-prompt
  ☆22Updated 8 months ago
• luow23 / AMI-Net
  [TASE 2024] AMI-Net: Adaptive Mask Inpainting Network for Industrial Anomaly Detection and Localization
  ☆27Updated 6 months ago
• BMVC-FADE / BMVC-FADE
  Official code for the paper "FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model".
  ☆30Updated 10 months ago
• HUST-SLOW / SeaS
  [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…
  ☆75Updated last month
• FantasticGNU / UniVAD
  [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
  ☆136Updated 6 months ago
• ShuaiLYU / MVREC
  Official source code for MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context.(AAAI 2025)
  ☆26Updated last month
• cqylunlun / CRAS
  [TII 2025] Official Implementation and Dataset Release for "Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly De…
  ☆25Updated 2 weeks ago
• abc-125 / segad
  Segmentation-based Anomaly Detector (SegAD)
  ☆59Updated last month
• SimonThomine / RememberingNormality
  Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"
  ☆19Updated 3 months ago
• ShuaiLYU / REB
  REB：Reducing Biases in Representation for Industrial Anomaly Detection
  ☆27Updated last year