Bernhard Kerbl [email protected] Inria Université Côte d'Azur France GEORGIOS KOPANAS * Inria Université Côte d'Azur France Max-Planck-Institut für Informatik THOMAS LEIMKÜHLER Germany GEOR (2023)
The paper presents a novel method for real-time radiance field rendering using a 3D Gaussian representation. The authors introduce three key innovations: a 3D Gaussian scene representation, an optimization technique for Gaussian properties, and a fast visibility-aware rendering algorithm. Their approach achieves competitive training speeds and state-of-the-art visual quality at real-time rendering rates of 93 frames per second at 1080p resolution, with a significant improvement in efficiency compared to previous state-of-the-art methods like Mip-NeRF360 and InstantNGP. The method is tested on a variety of established datasets demonstrating its effectiveness in creating high-quality novel views from captured scene images while ensuring lower training times.
This paper employs the following methods:
The following datasets were used in this research:
The authors identified the following limitations: