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Sem-iNeRF:Camera pose refinement by inverting neural radiance fields with semantic feature consistency

Anran Liu Xiaoxiao Long Yuan Liu Ping Luo Wenping Wang

计算可视媒体(英文)2025,Vol.11Issue(3):513-530,18.
计算可视媒体(英文)2025,Vol.11Issue(3):513-530,18.DOI:10.26599/CVM.2025.9450404

Sem-iNeRF:Camera pose refinement by inverting neural radiance fields with semantic feature consistency

Sem-iNeRF:Camera pose refinement by inverting neural radiance fields with semantic feature consistency

Anran Liu 1Xiaoxiao Long 1Yuan Liu 1Ping Luo 1Wenping Wang2

作者信息

  • 1. Department of Computer Science,The University of Hong Kong,Hong Kong 999077,China
  • 2. Department of Computer Science & Engineering,Texas A&M University,College Station,TX 79016,USA
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摘要

关键词

camera pose refinement/neural radiance fields/analysis-by-synthesis/semantic features

Key words

camera pose refinement/neural radiance fields/analysis-by-synthesis/semantic features

引用本文复制引用

Anran Liu,Xiaoxiao Long,Yuan Liu,Ping Luo,Wenping Wang..Sem-iNeRF:Camera pose refinement by inverting neural radiance fields with semantic feature consistency[J].计算可视媒体(英文),2025,11(3):513-530,18.

计算可视媒体(英文)

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