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  "documentTitle": "2022 Air Street Capital The State of AI Report 2022",
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  "notes": "The chart shows a significant increase in NeRF-related research papers from 2019 to 2022.",
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      "text": "From last year's Report (slide 18): Given multiple views of an image, NeRF uses a multilayered perceptron to learn a representation of the image and to render new views of it. It learns a mapping from every pixel location and view direction to the color and density at that location.",
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      "text": "Given the current quality of the results and the field's rate of progress, we expect that in a year or two, NeRFs will feature prominently in our industry section.",
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      "text": "Among this year's work, Plenoxels stands out by removing the MLP altogether and achieving a 100x speedup in NeRF training. Another exciting direction was rendering large scale sceneries from a few views with NeRFs, whether city-scale (rendering entire neighborhoods of San Francisco with Block-NeRF) or satellite-scale with Mega-NeRF*.",
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      "text": "The seminal NeRF paper was published in March 2020. Since then, fundamental improvements to the methods and new applications have been quickly and continuously developed. For example, more than 50 papers on NeRF alone appeared at CVPR in 2022.",
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      "text": "*You can better appreciate NeRF research by checking demos. E.g. Block-NeRF, NeRF in the dark, Light Field Neural Rendering",
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