Alternatives and similar repositories for DeCo-Diff

Users that are interested in DeCo-Diff are comparing it to the libraries listed below

• caoyunkang / CDO
  [IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
  ☆79Updated 5 months ago
• hyao1 / GLAD
  The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…
  ☆102Updated 3 months ago
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆104Updated last year
• MaticFuc / ECCV_TransFusion
  Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
  ☆38Updated 4 months ago
• TencentYoutuResearch / AnomalyDetection_Real-IAD
  ☆52Updated last year
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆36Updated 9 months ago
• cqylunlun / CRAS
  [TII 2025] Official Implementation and Dataset Release for "Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly De…
  ☆23Updated last month
• Haoyan-Guan / CAReg
  ☆33Updated last year
• xiaozhen228 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆90Updated 2 months ago
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆56Updated 2 months ago
• liutongkun / ComAD
  official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
  ☆45Updated 2 months ago
• caiyuxuan1120 / DAF
  ☆30Updated last year
• EnquanYang2022 / 3CAD
  AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control
  ☆47Updated 4 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…
  ☆94Updated 4 months ago
• xcyao00 / ResAD
  [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…
  ☆68Updated 10 months ago
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆118Updated 8 months ago
• oopil / PSAD_logical_anomaly_detection
  ☆54Updated 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
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆75Updated last year
• xcyao00 / BGAD
  [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…
  ☆89Updated 9 months ago
• LucStrater / GeneralAD
  GeneralAD
  ☆55Updated 8 months ago
• SSRheart / PCB-Bank
  ☆12Updated last year
• hq-deng / AnoVL
  ☆54Updated last year
• gaobb / MetaUAS
  [NeurIPS 2024] MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
  ☆55Updated 2 months ago
• xcyao00 / HGAD
  [ECCV 2024] The code for the ECCV 2024 paper: Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection
  ☆24Updated 9 months ago
• zhangzilongc / MMR
  ☆85Updated last year
• abc-125 / segad
  Segmentation-based Anomaly Detector (SegAD)
  ☆58Updated last week
• hmsch / natural-synthetic-anomalies
  Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".
  ☆62Updated 2 years ago
• xzhang-t / DiffAD
  [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model
  ☆30Updated last year
• FuNz-0 / PromptAD
  Official implementation of CVPR 2024 PromptAD: Learning Prompts with Only Normal Samples for Few-Shot Anomaly Detection
  ☆160Updated 11 months ago