Neural rendering methods have significantly advanced photo-realistic 3D scene rendering
in various academic and industrial applications. The recent 3D Gaussian Splatting method …

We present a new dataset called Real Acoustic Fields (RAF) that captures real acoustic
room data from multiple modalities. The dataset includes high-quality and densely captured …

As 3D content becomes increasingly prevalent, there'sa growing focus on the development
of engagements with 3D virtual content. Unfortunately, traditional techniques for creating …

Neural radiance fields have achieved remarkable performance in modeling the appearance
of 3D scenes. However existing approaches still struggle with the view-dependent …

The recent 3D Gaussian splatting (3D-GS) has shown remarkable rendering fidelity and
efficiency compared to NeRF-based neural scene representations. While demonstrating the …

Advances in neural fields are enabling high-fidelity capture of the shape and appearance of
dynamic 3D scenes. However their capabilities lag behind those offered by conventional …

Presenting a 3D scene from multiview images remains a core and long-standing challenge
in computer vision and computer graphics. Two main requirements lie in rendering and …

Creating high-quality and interactive virtual environments such as games and simulators
often involves complex and costly manual modeling processes. In this paper we present …

Neural radiance fields provide state-of-the-art view synthesis quality but tend to be slow to
render. One reason is that they make use of volume rendering thus requiring many samples …

Despite the great success of Neural Radiance Fields (NeRF), its data-gathering process
remains vague with only a general rule of thumb of sampling as densely as possible. The …