TACO reformulates neural implicit mapping as temporal consensus optimization to enable continual adaptation to scene changes without data replay or storage.
Monosdf: Exploring monoc- ular geometric cues for neural implicit surface recon- struction.Advances in neural information processing systems, 35:25018–25032, 2022
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TACO: Temporal Consensus Optimization for Continual Neural Mapping
TACO reformulates neural implicit mapping as temporal consensus optimization to enable continual adaptation to scene changes without data replay or storage.