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Reconstructing dense 3D scenes from sparse LiDAR point clouds (LiDAR scene completion) is a fundamental challenge in autonomous driving, where diffusion models offer a promising solution.
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L. Nunes, R. Marcuzzi, B. Mersch, J. Behley, and C. Stachniss, “Scaling diffusion models to real-world 3D LiDAR scene completion,” in Proc. IEEE/CVF Conf. Computer Vision and Pattern Recognition (CVPR)
2024
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B. Zhu, Z. Wang, and H. Li, “nuCraft: Crafting high resolution 3D semantic occupancy for unified 3D scene understanding,” in Proc. Eur. Conf. Computer Vision (ECCV)
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F. Batool, Y. Yaqoot, M. A. Mustafa, R. A. Khan, A. Fedoseev, and D. Tsetserukou, “ImpedanceDiffusion: Diffusion-based global path planning for UAV swarm navigation with generative impedance control,” in Proc. IEEE Int. Conf. Unmanned Aircraft Systems (ICUAS)
2026
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W. He et al
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