Abstract Since its proposal Neural Radiance Fields (NeRF) has achieved great success in
related tasks mainly adopting the hierarchical volume sampling (HVS) strategy for volume …

Abstract This paper presents Neural Visibility Field (NVF) a novel uncertainty quantification
method for Neural Radiance Fields (NeRF) applied to active mapping. Our key insight is that …

The landscape of computer graphics has undergone significant transformations with the
recent advances of differentiable rendering models. These rendering models often rely on …

In this work, we address the challenge of deploying Neural Radiance Field (NeRFs) in
Simultaneous Localization and Mapping (SLAM) under the condition of lacking depth …

Modern artificial intelligence provides a novel way of producing digital art in styles. The
expressive power of neural networks enables the realm of visual style transfer methods …

Volume rendering in neural radiance fields is inherently time-consuming due to the large
number of MLP calls on the points sampled per ray. Previous works would address this …

We propose a novel Neural Radiance Field (NeRF) representation for non-opaque scenes
that allows fast inference by utilizing textured polygons. Despite the high-quality novel view …

Neural radiance fields (NeRFs) have gained popularity with multiple works showing
promising results across various applications. However, to the best of our knowledge …

We propose a novel Neural Radiance Field (NeRF) representation for non-opaque scenes
that enables fast inference by utilizing textured polygons. Despite the high-quality novel view …