Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction and Pose Estimation

Shin-Fang Chng; Sameera Ramasinghe; Jamie Sherrah; Simon Lucey

doi:10.1007/978-3-031-19827-4_16

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Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction and Pose Estimation

Shin-Fang Chng Sameera Ramasinghe Jamie Sherrah Simon Lucey

Year: 2022 Lecture notes in computer science Pages: 264-280 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-19827-4_16

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Keywords:

Radiance Computer science Artificial intelligence Computer vision Gaussian Embedding Fidelity High fidelity Pose Field (mathematics) Artificial neural network Remote sensing Mathematics Geology Telecommunications Physics Acoustics

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Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction and Pose Estimation

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