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data_extraction/latex/3dgs_compression_survey.bbl

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@@ -98,6 +98,12 @@ T.~Lu, M.~Yu, L.~Xu, Y.~Xiangli, L.~Wang, D.~Lin, and B.~Dai.
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\newblock Scaffold-gs: Structured 3d gaussians for view-adaptive rendering,
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2024.
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\bibitem{taming20243dgs}
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S.~S. Mallick, R.~Goel, B.~Kerbl, F.~V. Carrasco, M.~Steinberger, and F.~D.~L.
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Torre.
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\newblock Taming 3dgs: High-quality radiance fields with limited resources.
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\newblock In {\em SIGGRAPH Asia 2024 Conference Papers}, 2024.
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\bibitem{mildenhall2020nerf}
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B.~Mildenhall, P.~P. Srinivasan, M.~Tancik, J.~T. Barron, R.~Ramamoorthi, and
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R.~Ng.
@@ -138,12 +144,6 @@ K.~Ren, L.~Jiang, T.~Lu, M.~Yu, L.~Xu, Z.~Ni, and B.~Dai.
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\newblock Octree-gs: Towards consistent real-time rendering with lod-structured
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3d gaussians, 2024, 2403.17898.
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\bibitem{taming20243dgs}
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{Saswat Mallick and Rahul Goel}, B.~Kerbl, F.~Vicente~Carrasco, M.~Steinberger,
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and F.~De~La~Torre.
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\newblock Taming 3dgs: High-quality radiance fields with limited resources.
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\newblock In {\em SIGGRAPH Asia 2024 Conference Papers}, 2024.
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\bibitem{seo2024flod}
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Y.~Seo, Y.~S. Choi, H.~S. Son, and Y.~Uh.
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\newblock Flod: Integrating flexible level of detail into 3d gaussian splatting

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