2 papers
cs.CV2026
HLGFA: High-Low Resolution Guided Feature Alignment for Unsupervised Anomaly Detection
Han Zhou, Yuxuan Gao, Yinchao Du +1
Unsupervised industrial anomaly detection (UAD) is essential for modern manufacturing inspection, where defect samples are scarce and reliable detection is required. In this paper,…
cs.CV2025
Img2CAD: Reverse Engineering 3D CAD Models from Images through VLM-Assisted Conditional Factorization
Yang You, Mikaela Angelina Uy, Jiaqi Han +7
Reverse engineering 3D computer-aided design (CAD) models from images is an important task for many downstream applications including interactive editing, manufacturing, architectu…