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Found 4 papers, 1 papers with code
Benchmarking Implicit Neural Representation and Geometric Rendering in Real-Time RGB-D SLAM
The goal of our benchmark is to 1) gain an intuition of how different INRs and rendering functions impact mapping and localization and 2) establish a unified evaluation protocol w. r. t.
Hi-Map: Hierarchical Factorized Radiance Field for High-Fidelity Monocular Dense Mapping
In this paper, we introduce Hi-Map, a novel monocular dense mapping approach based on Neural Radiance Field (NeRF).
FMapping: Factorized Efficient Neural Field Mapping for Real-Time Dense RGB SLAM
We then propose the sliding window sampler to reduce uncertainty by incorporating coherent geometric cues from observed frames during map initialization to enhance convergence.
Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks
Event cameras are bio-inspired sensors that capture the per-pixel intensity changes asynchronously and produce event streams encoding the time, pixel position, and polarity (sign) of the intensity changes.
