KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
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Abstract (arXiv)
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.
Key facts. Cited by 672 papers in the map (data through 7 Oct 2026). Builds on 47 of its 78 references that are in the map. First posted on arXiv 25 Mar 2021.
Builds on
47 of 78 references.
References · 47
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- 2019Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervisioncited by 699
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- 2020GRAF: Generative Radiance Fields for 3D-Aware Image Synthesiscited by 688
- 2019Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelinescited by 672
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- 2019BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networkscited by 487
- 2020Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstructioncited by 465
- 2020NeRD: Neural Reflectance Decomposition from Image Collectionscited by 446
- 2020Space-time Neural Irradiance Fields for Free-Viewpoint Videocited by 414
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- 2020INeRF: Inverting Neural Radiance Fields for Pose Estimationcited by 381
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- 2019Pushing the Boundaries of View Extrapolation with Multiplane Imagescited by 191
- 2020Stable View Synthesiscited by 165
- 2021NeRF--: Neural Radiance Fields Without Known Camera Parameterscited by 155
- 2021ShaRF: Shape-conditioned Radiance Fields from a Single Viewcited by 92
- 2020Object-Centric Neural Scene Renderingcited by 90
- 2020Learning Compositional Radiance Fields of Dynamic Human Headscited by 78
- 2020Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illuminationcited by 62
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- 2020Learning Implicit Surface Light Fieldscited by 23
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Citing papers per year: 2021: 47; 2022: 142; 2023: 199; 2024: 152; 2025: 96; 2026: 36.
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