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 7 months ago
• hyao1 / GLAD
  The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detect…
  ☆106Updated 5 months ago
• shirowalker / UCAD
  [AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
  ☆107Updated 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…
  ☆118Updated last month
• TencentYoutuResearch / AnomalyDetection_Real-IAD
  ☆55Updated last year
• xiaozhen228 / VCP-CLIP
  (ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
  ☆99Updated 4 months ago
• EnquanYang2022 / 3CAD
  AAAI-2025: The largest and first anomaly detection dataset dedicated to 3C product quality control
  ☆50Updated 6 months ago
• xcyao00 / ResAD
  [NeurIPS 2024 Spotlight] Pytorch Implementation for NeurIPS 2024 paper: ResAD: A Simple Framework for Class Generalizable Anomaly Detecti…
  ☆77Updated last week
• gaobb / OneNIP
  [ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  ☆60Updated last week
• Haoyan-Guan / CAReg
  ☆34Updated last year
• ByChelsea / CLIP-AD
  CLIP-AD is an upgraded version of the zero-shot anomaly detection method we proposed for the VAND challenge.
  ☆39Updated last year
• oopil / PSAD_logical_anomaly_detection
  ☆58Updated 5 months ago
• xiaozhen228 / Bayes-PFL
  (CVPR2025) the code of "Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection"
  ☆44Updated 4 months ago
• NivC / SINBAD
  A method for detecting anomalies consisting of unusual combinations of normal elements using set features
  ☆36Updated 11 months ago
• MaticFuc / ECCV_TransFusion
  Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
  ☆43Updated 6 months ago
• xcyao00 / BGAD
  [CVPR 2023] Pytorch Implementation for CVPR2023 paper: Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomal…
  ☆90Updated 11 months ago
• zhangzilongc / SOFS
  ☆33Updated 9 months ago
• LucStrater / GeneralAD
  GeneralAD
  ☆55Updated 10 months ago
• lewandofskee / MambaAD
  [NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.
  ☆182Updated 7 months ago
• caiyuxuan1120 / DAF
  ☆30Updated last year
• zqhang / Accurate-WinCLIP-pytorch
  Accurate reimplementation of WinCLIP (pytorch version)
  ☆119Updated 10 months ago
• zhangzilongc / MMR
  ☆88Updated last year
• cqylunlun / CRAS
  [TII 2025] Official Implementation and Dataset Release for "Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly De…
  ☆26Updated 3 weeks ago
• hq-deng / AnoVL
  ☆54Updated 2 years ago
• zhang0jhon / LogSAD
  [CVPR 2025] Towards Training-free Anomaly Detection with Vision and Language Foundation Models
  ☆65Updated 5 months ago
• FzJun26th / FastRecon
  ☆42Updated 2 years ago
• FantasticGNU / UniVAD
  [CVPR 2025] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
  ☆152Updated last week
• cool-xuan / msflow
  The official code for "MSFlow: Multi-Scale Normalizing Flows for Unsupervised Anomaly Detection"
  ☆80Updated last year
• HUST-SLOW / SeaS
  [ICCV2025] SeaS: Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tuning. Paper is available at https://arxi…
  ☆91Updated 2 months ago
• gaobb / AnoGen
  [ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection
  ☆56Updated last month