X-KANeRF
This article examines the implementation of Kolmogorov-Arnold Networks (KAN) with a variety of basis functions, including B-Spline, Fourier, and Gaussian RBF, applied to the NeRF equation. Utilizing the nerfstudio framework, the project aims to advance the comprehension and application of neural radiance fields. It provides a detailed comparison of KAN model performance on an RTX-3090, highlighting metrics like speed, PSNR, and SSIM. The article is open to feedback for improvements and provides clear installation and usage instructions.
