CDNeRF: A Multi-modal Feature Guided Neural Radiance Fields

Qi Zhang; Qiaoqiao Liu; Hang Zou

doi:10.1007/978-3-031-20497-5_17

ScienceGate Book Chapters

BOOK-CHAPTER

CDNeRF: A Multi-modal Feature Guided Neural Radiance Fields

Qi Zhang Qiaoqiao Liu Hang Zou

Year: 2022 Lecture notes in computer science Pages: 204-215 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-20497-5_17

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Radiance Artificial intelligence RGB color model Artificial neural network Modal Rendering (computer graphics) Deep learning Computer vision Feature (linguistics) Pattern recognition (psychology) Remote sensing

Metrics

Cited By

0.17

FWCI (Field Weighted Citation Impact)

Refs

0.55

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Computer Graphics and Visualization Techniques

Physical Sciences → Computer Science → Computer Graphics and Computer-Aided Design

3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

CDNeRF: A Multi-modal Feature Guided Neural Radiance Fields

Metrics

Citation History

Topics

Related Documents

MMNeRF: Multi-Modal and Multi-View Optimized Cross-Scene Neural Radiance Fields

MixeRF: neural radiance fields with multi-dimensional feature mixing capability

Multi-Space Neural Radiance Fields

Depth Guided Fast Rendering Neural Radiance Fields

Depth-Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo