Alternatives and similar repositories for DAF

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

• guojiajeremy / ReContrast
  ☆46Updated last year
• LucStrater / GeneralAD
  GeneralAD
  ☆55Updated 7 months ago
• xcyao00 / PMAD
  [AAAI 2023] Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection
  ☆16Updated 9 months ago
• jungyg / TailedCore
  Official implementation of TailedCore(CVPR25)
  ☆19Updated last month
• xcyao00 / HGAD
  [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection
  ☆23Updated 9 months ago
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆104Updated last year
• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆77Updated 5 months ago
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆73Updated last year
• xcyao00 / FOD
  [ICCV 2023] Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Det…
  ☆46Updated 9 months ago
• MaticFuc / ECCV_TransFusion
  Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
  ☆38Updated 4 months ago
• hq-deng / AnoVL
  ☆53Updated last year
• Haoyan-Guan / CAReg
  ☆30Updated last year
• liutongkun / ComAD
  official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
  ☆43Updated last month
• hlr7999 / RLR
  [ECCV 2024] Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
  ☆16Updated 11 months ago
• FzJun26th / FastRecon
  ☆41Updated last year
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆35Updated 9 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 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆89Updated 2 months ago
• jianzhang96 / GoodsAD
  [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation
  ☆33Updated 9 months ago
• zhangzilongc / MMR
  ☆83Updated last year
• TheStarOfMSY / MoEAD
  MoEAD is a parameter efficient model for multi class anomaly detection
  ☆32Updated 7 months ago
• SimonThomine / RememberingNormality
  Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"
  ☆18Updated last month
• ShuaiLYU / REB
  REB：Reducing Biases in Representation for Industrial Anomaly Detection
  ☆27Updated last year
• mala-lab / AHL
  Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.
  ☆46Updated last year
• xiaozhen228 / Bayes-PFL
  (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"
  ☆26Updated last month
• farzad-bz / DeCo-Diff
  This Repository contain the PyTorch implementation of the multi-class unsupervised anomaly detection method, accepted in CVPR2025: "Corre…
  ☆39Updated last week
• evenrose / CMDIAD
  This repository is the official implementation of Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal Distillation.
  ☆17Updated last month
• TencentYoutuResearch / AnomalyDetection_Real-IAD
  ☆52Updated last year
• 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"
  ☆19Updated 3 months ago
• ristea / ssmctb
  ☆56Updated last year