3 papers
cs.CV2025
Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection
Yuyang Yu, Zhengwei Chen, Xuemiao Xu +4
3D anomaly detection in point-cloud data is critical for industrial quality control, aiming to identify structural defects with high reliability. However, current memory bank-based…
cs.CV2025
RecDreamer: Consistent Text-to-3D Generation via Uniform Score Distillation
Chenxi Zheng, Yihong Lin, Bangzhen Liu +3
Current text-to-3D generation methods based on score distillation often suffer from geometric inconsistencies, leading to repeated patterns across different poses of 3D assets. Thi…
cs.CV2025
FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images
Jinchen Yu, Yongwei Nie, Fei Qi +2
The Segment Anything Model (SAM) has gained popularity as a versatile image segmentation method, thanks to its strong generalization capabilities across various domains. However, w…