Researchers From POSTECH And NVIDIA Created Two Large-Scale Implicit Datasets, Namely PeRFception-CO3D and PeRFception-ScanNet, That Cover Object-Centric And Scene-Centric Environments

In recent years, advances in implicit representations have shown tremendous accuracy, variety, and resilience in expressing 3D scenes by mapping low dimensional coordinates to local scene attributes such as occupancy, signed distance fields, or radiance fields. They have various advantages that explicit representations (such as voxels, meshes, and point clouds) cannot: smoother geometry, less memory […]

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