Matches in SemOpenAlex for { <https://semopenalex.org/work/W3136202831> ?p ?o ?g. }
- W3136202831 abstract "NeRF synthesizes novel views of a scene with unprecedented quality by fitting a neural radiance field to RGB images. However, NeRF requires querying a deep Multi-Layer Perceptron (MLP) millions of times, leading to slow rendering times, even on modern GPUs. In this paper, we demonstrate that real-time rendering is possible by utilizing thousands of tiny MLPs instead of one single large MLP. In our setting, each individual MLP only needs to represent parts of the scene, thus smaller and faster-to-evaluate MLPs can be used. By combining this divide-and-conquer strategy with further optimizations, rendering is accelerated by three orders of magnitude compared to the original NeRF model without incurring high storage costs. Further, using teacher-student distillation for training, we show that this speed-up can be achieved without sacrificing visual quality." @default.
- W3136202831 created "2021-03-29" @default.
- W3136202831 creator A5001964539 @default.
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- W3136202831 date "2021-03-25" @default.
- W3136202831 modified "2023-09-23" @default.
- W3136202831 title "KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs" @default.
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