3D scene stylization offers enhanced immersion and visual coherence for 3D experiences in digital content creation and augmented reality applications. Existing approaches frequently struggle to balance style consistency across different viewpoints, geometry consistency as reference, and zero-shot generalization to unse...
Yi-Hong He, Hai-Yong Jiang, Yu-Xi Wang et al.· IEEE Transactions on Image P...· 0 citations
This article explores an event-triggered self-learning parallel tracking control strategy for continuous-time nonlinear systems with actuator faults. To mitigate the impact of actuator faults, an enhanced performance index function is developed based on the unknown upper bound of such faults. Furthermore, an augmented...
Wen-Di Chen, Q. Wei, Shan-Shan Jiao et al.· IEEE Transactions on Cyberne...· 0 citations
Zero-shot multimodal anomaly detection commonly assumes that RGB and point cloud modalities are equally reliable and can contribute uniformly to anomaly localization. We challenge this assumption. Using a set of recently proposed stringent metrics that penalize false anomaly responses in normal regions, we find that po...
Cheng-Lin Ye, Lupeng Liu, Dong-Bo Yu et al.· 0 citations
This work proposes SeeU (Seeing the Unseen), a novel G-3DGS framework that frames its core design as semantic-in-Gaussian: semantic-conditioned refinement in Gaussian space, and introduces a Cross-viewEntropy-Aware (CEA) module that aggregates multi-view semantic and geometric cues into compact embeddings.
Zeyang Bai, Yun-Peng Wang, Yunbiao Wang et al.· 0 citations
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