GAN-based NeRF Training Method
Proposed a method for better high-frequency details in NeRF training using adversarial loss and discriminator.
Overview
This project aims to improve the quality of Neural Radiance Fields (NeRF) by incorporating GAN-based training. We focus on recovering high-frequency details often lost in standard NeRF optimization, leading to sharper and more realistic 3D reconstructions.