Sparf: Neural radiance fields from sparse and noisy poses
P Truong, MJ Rakotosaona… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract Neural Radiance Field (NeRF) has recently emerged as a powerful representation
to synthesize photorealistic novel views. While showing impressive performance, it relies on …
to synthesize photorealistic novel views. While showing impressive performance, it relies on …
[PDF][PDF] Deep review and analysis of recent nerfs
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 …
and represent objects or scenes. Generally speaking, NeRFs have five main characters …
Towards scalable multi-view reconstruction of geometry and materials
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 …
and spatially-varying Bidirectional Reflectance Distribution Function (svBRDF) of 3D scenes …
Human Perception-Guided Meta-Training for Few-Shot NeRF
B Li, X Xu, S Tang, L Yu, Z Wang - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
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 …
novel views. However, with the few-shot setup, the NeRF is prone to overfitting to the …
Neural representations for object capture and rendering
M Asthana - 2023 - etheses.whiterose.ac.uk
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 …
gaming, VR/AR avatars to movie visual effects which requires a faithful reconstruction of an …