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Fact-Hash

This repository contains the official implementation of the RA-L 2024 paper, "Factorized Multi-Resolution HashGrid for Efficient Neural Radiance Fields: Execution on Edge-Devices".

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Acknowledgement

This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant (No.RS-2022-II220290, Visual Intelligence for Space-Time Understanding and Generation based on Multi-layered Visual Common Sense; No.RS-2019-II191906, Artificial Intelligence Graduate School Program(POSTECH)) and National Research Foundation of Korea (NRF) grant (No. RS-2024-00358135, Corner Vision: Learning to Look Around the Corner through Multi-modal Signals) funded by the Korea government(MSIT). A portion of this work was carried out during an internship at NAVER AI Lab.