5 papers
RAM: Recover Any 3D Human Motion in-the-Wild
Sen Jia, Ning Zhu, Jinqin Zhong +4
RAM incorporates a motion-aware semantic tracker with adaptive Kalman filtering to achieve robust identity association under severe occlusions and dynamic interactions. A memory-au…
PSGS: Text-driven Panorama Sliding Scene Generation via Gaussian Splatting
Xin Zhang, Shen Chen, Jiale Zhou +1
Generating realistic 3D scenes from text is crucial for immersive applications like VR, AR, and gaming. While text-driven approaches promise efficiency, existing methods suffer fro…
Complementary Information Guided Occupancy Prediction via Multi-Level Representation Fusion
Rongtao Xu, Jinzhou Lin, Jialei Zhou +6
Camera-based occupancy prediction is a mainstream approach for 3D perception in autonomous driving, aiming to infer complete 3D scene geometry and semantics from 2D images. Almost…
Causal Reasoning Elicits Controllable 3D Scene Generation
Shen Chen, Ruiyu Zhao, Jiale Zhou +3
Existing 3D scene generation methods often struggle to model the complex logical dependencies and physical constraints between objects, limiting their ability to adapt to dynamic a…
Mind2Matter: Creating 3D Models from EEG Signals
Xia Deng, Shen Chen, Jiale Zhou +1
The reconstruction of 3D objects from brain signals has gained significant attention in brain-computer interface (BCI) research. Current research predominantly utilizes functional…