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
  ☆77Updated 4 months ago
• hyao1 / GLAD
  The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…
  ☆96Updated 2 months ago
• LucStrater / GeneralAD
  GeneralAD
  ☆55Updated 6 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
  ☆35Updated 8 months ago
• EnquanYang2022 / 3CAD
  AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control
  ☆43Updated 2 months ago
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆101Updated 11 months ago
• xiaozhen228 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆86Updated last month
• MaticFuc / ECCV_TransFusion
  Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
  ☆38Updated 3 months ago
• Haoyan-Guan / CAReg
  ☆29Updated last year
• SSRheart / PCB-Bank
  ☆12Updated last year
• xcyao00 / ResAD
  [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…
  ☆65Updated 8 months ago
• caiyuxuan1120 / DAF
  ☆29Updated last year
• liutongkun / ComAD
  official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"
  ☆43Updated 3 weeks ago
• xzhang-t / DiffAD
  [ICCV2023] Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model
  ☆28Updated last year
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆109Updated 7 months ago
• hito2448 / URD
  [AAAI 2025] PyTorch Implementation of "Unlocking the Potential of Reverse Distillation for Anomaly Detection".
  ☆25Updated last month
• oopil / PSAD_logical_anomaly_detection
  ☆53Updated 2 months ago
• TencentYoutuResearch / AnomalyDetection-SoftPatch
  Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"
  ☆61Updated last year
• xcyao00 / PRNet
  [CVPR 2023] Unofficial PyTorch implementation for CVPR2023 paper, Prototypical Residual Networks for Anomaly Detection and Localization.
  ☆30Updated 2 years ago
• FzJun26th / FastRecon
  ☆39Updated last year
• 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
• hq-deng / AnoVL
  ☆51Updated last year
• guojiajeremy / Dinomaly
  ☆134Updated last week
• zhangzilongc / MMR
  ☆82Updated last year
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆71Updated last year
• jungyg / TailedCore
  Official implementation of TailedCore(CVPR25)
  ☆19Updated last month
• zhangzilongc / SOFS
  ☆29Updated 5 months ago
• xcyao00 / BGAD
  [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…
  ☆89Updated 8 months ago
• jianzhang96 / GoodsAD
  [IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation
  ☆33Updated 8 months ago