mlsanityData to 14 Oct 2026

SplatPose & Detect: Pose-Agnostic 3D Anomaly Detection

arXiv 2404.06832 ↗First posted 10 Apr 2024cs.CV cs.LGcited by 25

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Abstract (arXiv)

Detecting anomalies in images has become a well-explored problem in both academia and industry. State-of-the-art algorithms are able to detect defects in increasingly difficult settings and data modalities. However, most current methods are not suited to address 3D objects captured from differing poses. While solutions using Neural Radiance Fields (NeRFs) have been proposed, they suffer from excessive computation requirements, which hinder real-world usability. For this reason, we propose the novel 3D Gaussian splatting-based framework SplatPose which, given multi-view images of a 3D object, accurately estimates the pose of unseen views in a differentiable manner, and detects anomalies in them. We achieve state-of-the-art results in both training and inference speed, and detection performance, even when using less training data than competing methods. We thoroughly evaluate our framework using the recently proposed Pose-agnostic Anomaly Detection benchmark and its multi-pose anomaly detection (MAD) data set.

Key facts. Cited by 25 papers in the map (data through 14 Oct 2026). Builds on 32 of its 51 references that are in the map. First posted on arXiv 10 Apr 2024.

Builds on

32 of 51 references.

References · 32

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,442
  3. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  4. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,032
  5. 2020D-NeRF: Neural Radiance Fields for Dynamic Scenescited by 1,465
  6. 2021LoFTR: Detector-Free Local Feature Matching with Transformerscited by 984
  7. 2021PlenOctrees for Real-time Rendering of Neural Radiance Fieldscited by 905
  8. 2021Towards Total Recall in Industrial Anomaly Detectioncited by 776
  9. 2021RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputscited by 615
  10. 2020PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localizationcited by 594
  11. 2017Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discoverycited by 566
  12. 2021CutPaste: Self-Supervised Learning for Anomaly Detection and Localizationcited by 531
20 more
  1. 2021DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detectioncited by 514
  2. 2022HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Videocited by 483
  3. 2022Anomaly Detection via Reverse Distillation from One-Class Embeddingcited by 421
  4. 2019Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddingscited by 386
  5. 2020INeRF: Inverting Neural Radiance Fields for Pose Estimationcited by 382
  6. 2021CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flowscited by 321
  7. 2020Sub-Image Anomaly Detection with Deep Pyramid Correspondencescited by 300
  8. 2023SimpleNet: A Simple Network for Image Anomaly Detection and Localizationcited by 256
  9. 2020Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flowscited by 212
  10. 2019OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representationscited by 199
  11. 2021The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localizationcited by 178
  12. 2021Student-Teacher Feature Pyramid Matching for Anomaly Detectioncited by 146
  13. 2023Multimodal Industrial Anomaly Detection via Hybrid Fusioncited by 139
  14. 2022CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localizationcited by 135
  15. 2021Fully Convolutional Cross-Scale-Flows for Image-based Defect Detectioncited by 117
  16. 2022Asymmetric Student-Teacher Networks for Industrial Anomaly Detectioncited by 117
  17. 2020Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detectioncited by 115
  18. 2021Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flowscited by 85
  19. 2023PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detectioncited by 46
  20. 2024Quantum Normalizing Flows for Anomaly Detectioncited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 6; 2025: 11; 2026: 8.

25 papers.

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  1. 20243D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunitiescited by 78
  2. 2024Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detectioncited by 30
  3. 20243DGS-CD: 3D Gaussian Splatting-based Change Detection for Physical Object Rearrangementcited by 15
  4. 2024Multi-View Pose-Agnostic Change Localization with Zero Labelscited by 12
  5. 2024SplatPose+: Real-time Image-Based Pose-Agnostic 3D Anomaly Detectioncited by 11
  6. 2025Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detectioncited by 11
  7. 2024RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observationscited by 5
  8. 2025Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detectioncited by 5
  9. 2025A Lightweight 3D Anomaly Detection Method with Rotationally Invariant Featurescited by 5
  10. 2026Predictive Photometric Uncertainty in Gaussian Splatting for Novel View Synthesiscited by 5
  11. 2025Fence Theorem: Towards Dual-Objective Semantic-Structure Isolation in Preprocessing Phase for 3D Anomaly Detectioncited by 4
  12. 2025Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detectioncited by 4
13 more
  1. 2025Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmarkcited by 4
  2. 2025SceneDiff: A Benchmark and Method for Multiview Object Change Detectioncited by 4
  3. 2025C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisorcited by 3
  4. 2025IEC3D-AD: A 3D Dataset of Industrial Equipment Components for Unsupervised Point Cloud Anomaly Detectioncited by 3
  5. 2025Changes in Real Time: Online Scene Change Detection with Multi-View Fusioncited by 3
  6. 2026From Pixels to Primitives: Scene Change Detection in 3D Gaussian Splattingcited by 3
  7. 2026PlenoCI: Plenoptic CharacterIstics for View Dependence Aware Change Classificationcited by 1
  8. 2025Mentor3AD: Feature Reconstruction-based 3D Anomaly Detection via Multi-modality Mentor Learningcited by 0
  9. 2026Learning Discriminative Signed Distance Functions from Multi-scale Level-of-detail Features for 3D Anomaly Detectioncited by 0
  10. 2026Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detectioncited by 0
  11. 2026MATCH: Flow Matching for Multi-View Anomaly Detectioncited by 0
  12. 2026PADFormer: Pose-agnostic Anomaly Detection from Sparse View Imagescited by 0
  13. 2026PC2-AD: Point Cloud Upsampling to Safeguard 3D Anomaly Detection with Resolution-constrained Edge Devicescited by 0