[CS482] 3D Gaussian Splatting for Real-Time Radiance Field Rendering Page 1 3D Gaussian
Splatting for Real-Time Radiance Field Rendering November 20, 2023 Bernhard Kerbl …

3D Gaussian Splatting (3DGS) has recently revolutionized radiance field reconstruction,
achieving high quality novel view synthesis and fast rendering speed without baking …

Abstract Advancements in 3D Gaussian Splatting have significantly accelerated 3D
reconstruction and generation. However it may require a large number of Gaussians which …

Abstract Neural Radiance Fields (NeRFs) have demonstrated remarkable potential in
capturing complex 3D scenes with high fidelity. However one persistent challenge that …

3D Gaussian splatting (3D GS) has recently emerged as a transformative technique in the
explicit radiance field and computer graphics landscape. This innovative approach …

Neural radiance fields achieve unprecedented quality for novel view synthesis, but their
volumetric formulation remains expensive, requiring a huge number of samples to render …

Neural radiance fields (NeRF) has achieved outstanding performance in modeling 3D
objects and controlled scenes, usually under a single scale. In this work, we focus on multi …

Abstract 3D scene representations have gained immense popularity in recent years.
Methods that use Neural Radiance fields are versatile for traditional tasks such as novel …

We introduce a method to render Neural Radiance Fields (NeRFs) in real time using
PlenOctrees, an octree-based 3D representation which supports view-dependent effects …

Implicit neural representations such as Neural Radiance Field (NeRF) have focused mainly
on modeling static objects captured under multi-view settings where real-time rendering can …