ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2410.00320
  4. Cited By
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot
  3D Anomaly Detection

PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection

1 October 2024
Qihang Zhou
Jiangtao Yan
Shibo He
Wenchao Meng
Jiming Chen
    3DPC
ArXivPDFHTML

Papers citing "PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection"

2 / 2 papers shown
Title
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
Hanzhe Liang
Aoran Wang
Jie Zhou
Xin Jin
C. Gao
Jinbao Wang
18
0
0
09 May 2025
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection
Jiayi Cheng
C. Gao
Jie Zhou
J. Wen
Tao Dai
J. Wang
29
0
0
04 May 2025
1