Neural Radiance Transfer Fields for Relightable Novel-View Synthesis with Global Illumination

Linjie Lyu; Ayush Tewari; Thomas Leimkühler; Marc Habermann; Christian Theobalt

doi:10.1007/978-3-031-19790-1_10

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Neural Radiance Transfer Fields for Relightable Novel-View Synthesis with Global Illumination

Linjie Lyu Ayush Tewari Thomas Leimkühler Marc Habermann Christian Theobalt

Year: 2022 Lecture notes in computer science Pages: 153-169 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-19790-1_10

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Keywords:

Computer science Rendering (computer graphics) Global illumination Radiance Artificial intelligence Computer vision Computer graphics Image-based modeling and rendering View synthesis Path tracing Graphics Image synthesis Computer graphics (images) Differentiable function Image (mathematics) Remote sensing

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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

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Neural Radiance Transfer Fields for Relightable Novel-View Synthesis with Global Illumination

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