A two-stage diffusion model generates realistic depth noise on synthetic CAD data, and pretraining 3D networks on the resulting data improves few-shot real-world 3D tasks.
Close the sim2real gap via physically-based structured light synthetic data simulation
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Stable-Sim2Real: Exploring Simulation of Real-Captured 3D Data with Two-Stage Depth Diffusion
A two-stage diffusion model generates realistic depth noise on synthetic CAD data, and pretraining 3D networks on the resulting data improves few-shot real-world 3D tasks.