Novel Approaches in Game Engine-Based Content Creation: Unveiling the Potential of Neural Radiance Fields and 3D Gaussian Splatting

Lukasz Mirocha*

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

Abstract

This course provides a comprehensive overview of two groundbreaking solutions for capturing and reconstructing real-world objects and locations: Neural Radiance Fields (NeRFs) and Gaussian Splatting (3DGS). NeRFs and 3DGS have revolutionized the field of computer graphics by enabling the creation of high-quality 3D models from images, photos, and videos. The primary goal of this course is to bridge the gap between rapidly evolving computer graphics research in NeRFs and Gaussian Splatting and creative communities interested in near-production-ready pipelines centered around generalpurpose game engines (e.g., Unity and Unreal). The focus will be on showcasing several codeless or minimally coding pipelines that are designed for users without deep technical expertise.

Original languageEnglish
Title of host publicationProceedings - SIGGRAPH Asia 2024 Courses, SA Courses 2024
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery (ACM)
ISBN (Electronic)9798400711350
DOIs
Publication statusPublished - 20 Dec 2024
Event2024 SIGGRAPH Asia 2024 Courses, SA Courses 2024 - Tokyo, Japan
Duration: 3 Dec 20246 Dec 2024

Publication series

NameSIGGRAPH-ASIA: Computer Graphics and Interactive Techniques-Asia

Conference

Conference2024 SIGGRAPH Asia 2024 Courses, SA Courses 2024
Country/TerritoryJapan
CityTokyo
Period3/12/246/12/24

Scopus Subject Areas

  • Computer Graphics and Computer-Aided Design
  • Software

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