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Figure 1. Overview of the proposed GraspNeRF and the dataset. Our method takes sparse multiview RGB images as input, constructs a neural radiance field, and executes material-agnostic grasp detection within 90ms. We train the model on the proposed large-scale synthetic multiview grasping dataset generated by photorealistic rendering and domain randomization.