LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models: A Comprehensive Study
The author presents R2DM, a novel generative model for LiDAR data based on denoising diffusion probabilistic models, showcasing superior performance in generating diverse and high-fidelity 3D scene point clouds. The approach leverages deep generative models to address challenges in LiDAR data generation.