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NeRF-Guided Unsupervised Learning of RGB-D Registration
In this paper, we present NeRF-UR, a novel frame-to-model optimization framework for unsupervised RGB-D registration.
MIPS-Fusion: Multi-Implicit-Submaps for Scalable and Robust Online Neural RGB-D Reconstruction
For the first time, randomized optimization is made possible in neural tracking with several key designs to the learning process, enabling efficient and robust tracking even under fast camera motions.
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