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FRNeRF:Fusion and regularization fields for dynamic view synthesis

Xinyi Jing Tao Yu Renyuan He Yu-Kun Lai Kun Li

计算可视媒体（英文）2025，Vol.11Issue(5)：965-981,17.

计算可视媒体（英文）2025，Vol.11Issue(5)：965-981,17.DOI:10.26599/CVM.2025.9450405

FRNeRF:Fusion and regularization fields for dynamic view synthesis

Xinyi Jing ¹Tao Yu ¹Renyuan He ¹Yu-Kun Lai ²Kun Li¹

作者信息

1. College of Intelligence and Computing,Tianjin University,Tianjin 300350,China
2. School of Computer Science and Informatics,Cardiff University,Cardiff CF24 4AG,UK
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摘要

关键词

neural radiance fields(NeRFs)/space-time view synthesis/dynamic scene reconstruction/flow fields

Key words

neural radiance fields(NeRFs)/space-time view synthesis/dynamic scene reconstruction/flow fields

引用本文复制引用

Xinyi Jing,Tao Yu,Renyuan He,Yu-Kun Lai,Kun Li..FRNeRF:Fusion and regularization fields for dynamic view synthesis[J].计算可视媒体（英文）,2025,11(5):965-981,17.

基金项目

We are grateful to the Associate Editor and anony-mous reviewers for their help in improving this paper.This work was supported in part by National Key R&D Program of China(2023YFC3082100),National Natural Science Foundation of China(62122058 and 62171317),and Science Fund for Distinguished Young Scholars of Tianjin(No.22JCJQJC00040). （2023YFC3082100）

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