NeRF
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2021/12/17
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Journal
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Indian UGC (journal)
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Refrences25
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Citations362
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Ben Mildenhall UC Berkeley, Berkeley, CA
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Pratul P. Srinivasan UC Berkeley, Berkeley, CA
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Matthew Tancik UC Berkeley, Berkeley, CA
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Jonathan T. Barron Google Research Mountain View, CA
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Ravi Ramamoorthi UC San Diego, La Jolla, CA
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Ren Ng UC Berkeley, Berkeley, CA
Abstract
Cite
Mildenhall, Ben, et al. “NeRF”. Communications of the ACM, vol. 65, no. 1, 2021, pp. 99-106, https://doi.org/10.1145/3503250.
Mildenhall, B., Srinivasan, P. P., Tancik, M., Barron, J. T., Ramamoorthi, R., & Ng, R. (2021). NeRF. Communications of the ACM, 65(1), 99-106. https://doi.org/10.1145/3503250
Mildenhall B, Srinivasan PP, Tancik M, Barron JT, Ramamoorthi R, Ng R. NeRF. Communications of the ACM. 2021;65(1):99-106.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| NeurIPS | 2020 | |||
| NeurIPS | 2019 | |||
| CVPR | 2019 | |||
| Mildenhall , B. , Srinivasan , P.P. , Ortiz-Cayon , R. , Kalantari , N.K. , Ramamoorthi , R. , Ng , R. , Kar , A. Local light field fusion: Practical view synthesis with prescriptive sampling guidelines. ACM Trans. Graph. (SIGGRAPH) ( 2019 ). Mildenhall, B., Srinivasan, P.P., Ortiz-Cayon, R., Kalantari, N.K., Ramamoorthi, R., Ng, R., Kar, A. Local light field fusion: Practical view synthesis with prescriptive sampling guidelines. ACM Trans. Graph. (SIGGRAPH) (2019). | 2019 | |||
| Lombardi , S. , Simon , T. , Saragih , J. , Schwartz , G. , Lehrmann , A. , Sheikh , Y. Neural volumes: Learning dynamic renderable volumes from images. ACM Trans. Graph. (SIGGRAPH) ( 2019 ). Lombardi, S., Simon, T., Saragih, J., Schwartz, G., Lehrmann, A., Sheikh, Y. Neural volumes: Learning dynamic renderable volumes from images. ACM Trans. Graph. (SIGGRAPH) (2019). | 2019 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
UAV‐based simultaneous localization and mapping in outdoor environments: A systematic scoping review | Journal of Field Robotics |
| 2024 | |
| Utilizing periodic feature-enhanced neural-field modeling for the photorealistic representation of human head avatars | The Visual Computer |
| 2024 | |
| Unpaired semantic neural person image synthesis | The Visual Computer |
| 2024 | |
| Collaborative neural radiance fields for novel view synthesis | The Visual Computer |
| 2024 | |
Quantifying robustness: 3D tree point cloud skeletonization with smart-tree in noisy domains | Pattern Analysis and Applications |
| 2024 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 125
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled FreeStyleGAN and was published in 2021. The most recent citation comes from a 2024 study titled M-NeuS: volume rendering based surface reconstruction and material estimation. This article reached its peak citation in 2023, with 185 citations. It has been cited in 151 different journals, 22% of which are open access. Among related journals, the IEEE Robotics and Automation Letters cited this research the most, with 30 citations. The chart below illustrates the annual citation trends for this article.