LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models: R2DM Approach

R2DM is a novel generative model for LiDAR data synthesis based on denoising diffusion probabilistic models, achieving state-of-the-art performance in generating diverse and high-fidelity 3D scene point clouds.