Abstract We present Block-NeRF, a variant of Neural Radiance Fields that can represent
large-scale environments. Specifically, we demonstrate that when scaling NeRF to render …

Purely MLP-based neural radiance fields (NeRF-based methods) often suffer from
underfitting with blurred renderings on large-scale scenes due to limited model capacity …

Manually annotating object bounding boxes is central to building computer vision datasets,
and it is very time consuming (annotating ILSVRC [53] took 35s for one high-quality box …

Thoroughly revised, this third edition focuses on modern techniques used to generate
synthetic three-dimensional images in a fraction of a second. With the advent of …

We present a texture synthesis scheme based on neighborhood matching, with contributions
in two areas: parallelism and control. Our scheme defines an infinite, deterministic, aperiodic …

Depression is the major cause of years lived in disability world-wide; however, its diagnosis
and tracking methods still rely mainly on assessing self-reported depressive symptoms …

Abstract Since Google Earth was first released in 2005, it has attracted hundreds of millions
of users worldwide and made a profound impact on both academia and industry. It can be …

This paper introduces a new scalable technique for approximating indirect illumination in
fully dynamic scenes for real-time applications, such as video games. We use lattices and …

The creation of a digital representation of the Earth and its associated data is a complex and
difficult task. The incredible size of geospatial data and differences between data sets pose …

Rendering high quality digital terrains at interactive rates requires carefully crafted
algorithms and data structures able to balance the competing requirements of realism and …