Efficient and accurate neuralfield reconstruction using resistive memory
News Source : Nature.com
News Summary
- The Pancreas four-dimensional CT data 50, NeRF synthetic dataset 4 and D-NeRF dataset 53 are publicly available.
- All other measured data are freely available upon reasonable request.
- Source data are provided with this paper.
- The code that supports the simulation in this paper and other findings of this study is available at GitHub 56 ( https.
- GitHub.com/SuperFrankyy/Memristive_Neural_Field ).
- This work advances AI-driven signal reconstruction technology and paves the way for future efficient and robust medical AI and three-dimensional vision applications.
Sitzmann, V., Martel, J., Bergman, A., Lindell, D. & Wetzstein, G. Implicit neural representations with periodic activation functions. In Proc.
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