no code implementations • CVPR 2023 • Sungheon Park, Minjung Son, Seokhwan Jang, Young Chun Ahn, Ji-Yeon Kim, Nahyup Kang
Despite the simplicity of the model architectures, our method achieved state-of-the-art performance both in rendering quality for the neural representation and in training speed for the grid representation.
no code implementations • 23 Nov 2022 • Young Chun Ahn, Seokhwan Jang, Sungheon Park, Ji-Yeon Kim, Nahyup Kang
To overcome this challenge, we propose pseudo-view augmentation of NeRF, a scheme that expands a sufficient amount of data by considering the geometry of few-shot inputs.