MIF integrates appearance, spatial, and geometry fields with discrepancy detection to raise humanoid relocation success from 12% to 94% in dynamic offices while cutting memory use by 91.4%.
Nerf: Representing scenes as neural radiance fields for view synthesis.Communications of the ACM, 65(1):99– 106
3 Pith papers cite this work. Polarity classification is still indexing.
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ShapeGen generates shape-diverse 3D robotic manipulation demonstrations without simulators by curating a functional shape library and applying a minimal-annotation pipeline for novel, physically plausible data.
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Learning to Evolve: Multi-modal Interactive Fields for Robust Humanoid Navigation in Dynamic Environments
MIF integrates appearance, spatial, and geometry fields with discrepancy detection to raise humanoid relocation success from 12% to 94% in dynamic offices while cutting memory use by 91.4%.
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ShapeGen: Robotic Data Generation for Category-Level Manipulation
ShapeGen generates shape-diverse 3D robotic manipulation demonstrations without simulators by curating a functional shape library and applying a minimal-annotation pipeline for novel, physically plausible data.
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