A diffusion model conditioned on a vector-quantized PointNet latent reconstructs point clouds at 0.06-0.25 bits per point with better reported quality than G-PCC, Draco, D-PCC, and COT-PCC on ShapeNet and ModelNet40.
End-to-end optimized image compression,
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Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates
A diffusion model conditioned on a vector-quantized PointNet latent reconstructs point clouds at 0.06-0.25 bits per point with better reported quality than G-PCC, Draco, D-PCC, and COT-PCC on ShapeNet and ModelNet40.