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NeuS-PIR:Learning relight able neural surface using pre-integrated rendering

Shi Mao Chenming Wu Zhelun Shen Yifan Wang Dayan Wu Liangjun Zhang

计算可视媒体（英文）2025，Vol.11Issue(4)：727-744,18.

计算可视媒体（英文）2025，Vol.11Issue(4)：727-744,18.DOI:10.26599/CVM.2025.9450493

NeuS-PIR:Learning relight able neural surface using pre-integrated rendering

Shi Mao ¹Chenming Wu ²Zhelun Shen ²Yifan Wang ³Dayan Wu ⁴Liangjun Zhang²

作者信息

1. King Abdullah University of Science and Technology(KAUST),Thuwal 23955,Saudi Arabia||The Robotics and Autonomous Driving Lab(RAL),Baidu Research,Beijing 100085,China
2. The Robotics and Autonomous Driving Lab(RAL),Baidu Research,Beijing 100085,China
3. Paul G.Allen School of Computer Science,University of Washington,Seattle 98195,WA,USA
4. Institute of Information Engineering,Chinese Academy of Sciences,Beijing 100190,China
折叠

摘要

关键词

inverse rendering/pre-integrated rendering/neural implicit representation

Key words

inverse rendering/pre-integrated rendering/neural implicit representation

引用本文复制引用

Shi Mao,Chenming Wu,Zhelun Shen,Yifan Wang,Dayan Wu,Liangjun Zhang..NeuS-PIR:Learning relight able neural surface using pre-integrated rendering[J].计算可视媒体（英文）,2025,11(4):727-744,18.

基金项目

This work was partially supported by the National Natural Science Foundation of China(62472420). （62472420）

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