5 papers
GA-GS: Generation-Assisted Gaussian Splatting for Static Scene Reconstruction
Yedong Shen, Shiqi Zhang, Sha Zhang +6
Reconstructing static 3D scene from monocular video with dynamic objects is important for numerous applications such as virtual reality and autonomous driving. Current approaches t…
PGOV3D: Open-Vocabulary 3D Semantic Segmentation with Partial-to-Global Curriculum
Shiqi Zhang, Sha Zhang, Jiajun Deng +3
Existing open-vocabulary 3D semantic segmentation methods typically supervise 3D segmentation models by merging text-aligned features (e.g., CLIP) extracted from multi-view images…
STDArm: Transferring Visuomotor Policies From Static Data Training to Dynamic Robot Manipulation
Yifan Duan, Heng Li, Yilong Wu +5
Recent advances in mobile robotic platforms like quadruped robots and drones have spurred a demand for deploying visuomotor policies in increasingly dynamic environments. However,…
MT-PCR: Leveraging Modality Transformation for Large-Scale Point Cloud Registration with Limited Overlap
Yilong Wu, Yifan Duan, Yuxi Chen +5
Large-scale scene point cloud registration with limited overlap is a challenging task due to computational load and constrained data acquisition. To tackle these issues, we propose…
OG-Gaussian: Occupancy Based Street Gaussians for Autonomous Driving
Yedong Shen, Xinran Zhang, Yifan Duan +5
Accurate and realistic 3D scene reconstruction enables the lifelike creation of autonomous driving simulation environments. With advancements in 3D Gaussian Splatting (3DGS), previ…