Neural radiance fields (NeRFs) refer to a suit of deep neural networks that are used to learn
and represent objects or scenes. Generally speaking, NeRFs have five main characters …

Abstract Neural Radiance Field (NeRF) has recently emerged as a powerful representation
to synthesize photorealistic novel views. While showing impressive performance, it relies on …

In this paper, we propose a novel method for joint recovery of camera pose, object geometry
and spatially-varying Bidirectional Reflectance Distribution Function (svBRDF) of 3D scenes …

The latest progress in novel view synthesis can be attributed to the Neural Radiance Field
(NeRF), which requires densely sampled images with precise camera poses. However …

Neural Radiance Fields (NeRF) have recently achieved impressive results in synthesizing
novel views. However, with the few-shot setup, the NeRF is prone to overfitting to the …

Photometric stereo is a classical computer vision problem with applications ranging from
gaming, VR/AR avatars to movie visual effects which requires a faithful reconstruction of an …