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  • title: Compressible-composable NeRF via Rank-residual Decomposition
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            Compressible-composable NeRF via Rank-residual Decomposition
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            Compressible-composable NeRF via Rank-residual Decomposition

            Nov 28, 2022

            Speakers

            JT

            Jiaxiang Tang

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            XC

            Xiaokang Chen

            Speaker · 0 followers

            JW

            Jingbo Wang

            Speaker · 0 followers

            About

            Neural Radiance Field (NeRF) has emerged as a compelling method to represent 3D objects and scenes for photo-realistic rendering. However, its implicit representation causes difficulty in manipulating the models like the explicit mesh representation.Several recent advances in NeRF manipulation are usually restricted by a shared renderer network, or suffer from large model size. To circumvent the hurdle, in this paper, we present a neural field representation that enables efficient and convenient…

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            NeurIPS 2022

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