matajoh/fourier_feature_nets
Supplemental learning materials for "Fourier Feature Networks and Neural Volume Rendering"
This project helps engineers, researchers, and students understand how to use Fourier Feature Networks to model complex signals. You input 1D data like audio waves, 2D images, or sets of 3D camera views, and it generates high-fidelity reconstructions or realistic 3D scenes. It's ideal for those learning about advanced neural network techniques for signal and image processing, particularly in the context of neural volume rendering.
179 stars. No commits in the last 6 months.
Use this if you are an engineering student or researcher looking to explore and reproduce experiments in neural volume rendering and Fourier Feature Networks, and want interactive learning materials alongside working code.
Not ideal if you are looking for a plug-and-play solution for production-level 3D rendering or signal processing without needing to understand the underlying neural network architecture.
Stars
179
Forks
25
Language
Python
License
MIT
Category
Last pushed
May 12, 2023
Commits (30d)
0
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