4 papers
2K Retrofit: Entropy-Guided Efficient Sparse Refinement for High-Resolution 3D Geometry Prediction
Tianbao Zhang, Zhenyu Liang, Zhenbo Song +7
High-resolution geometric prediction is essential for robust perception in autonomous driving, robotics, and AR/MR, but current foundation models are fundamentally limited by their…
Empowering Feed-Forward Reconstruction Models with Metric Scale via Satellite Images
Xianghui Ze, Yongjian Luo, Mengjun Chao +3
Feed-forward 3D reconstruction models have recently shown strong generalization across diverse scenes, yet most of them recover geometry only up to an unknown global scale. This sc…
Efficient Active Training for Deep LiDAR Odometry
Beibei Zhou, Zhiyuan Zhang, Zhenbo Song +2
Robust and efficient deep LiDAR odometry models are crucial for accurate localization and 3D reconstruction, but typically require extensive and diverse training data to adapt to d…
Generalizing Unsupervised Lidar Odometry Model from Normal to Snowy Weather Conditions
Beibei Zhou, Zhiyuan Zhang, Zhenbo Song +2
Deep learning-based LiDAR odometry is crucial for autonomous driving and robotic navigation, yet its performance under adverse weather, especially snowfall, remains challenging. Ex…