Raymarching Distance Fields with CUDA

Raymarching is a technique for rendering implicit surfaces using signed distance fields. It has been known and used since the 1980s for rendering fractals and CSG (constructive solid geometry) surfaces, but has rarely been used for commercial rendering applications such as film and 3D games. Raymarc...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Avelina Hadji-Kyriacou, Ognjen Arandjelović
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	rendering sphere tracing ray tracing graphics photorealism CUDA kernels Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/d84e6163314949898b24251d4431aaed
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:d84e6163314949898b24251d4431aaed
record_format	dspace
spelling	oai:doaj.org-article:d84e6163314949898b24251d4431aaed2021-11-25T17:24:02ZRaymarching Distance Fields with CUDA10.3390/electronics102227302079-9292https://doaj.org/article/d84e6163314949898b24251d4431aaed2021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2730https://doaj.org/toc/2079-9292Raymarching is a technique for rendering implicit surfaces using signed distance fields. It has been known and used since the 1980s for rendering fractals and CSG (constructive solid geometry) surfaces, but has rarely been used for commercial rendering applications such as film and 3D games. Raymarching was first used for photorealistic rendering in the mid 2000s by demoscene developers and hobbyist graphics programmers, receiving little to no attention from the academic community and professional graphics engineers. In the present work, we explain why the use of Simple and Fast Multimedia Library (SFML) by nearly all existing approaches leads to a number of inefficiencies, and hence set out to develop a CUDA oriented approach instead. We next show that the usual data handling pipeline leads to further unnecessary data flow overheads and therefore propose a novel pipeline structure that eliminates much of redundancy in the manner in which data are processed and passed. We proceed to introduce a series of data structures which were designed with the specific aim of exploiting the pipeline’s strengths in terms of efficiency while achieving a high degree of photorealism, as well as the accompanying models and optimizations that ultimately result in an engine which is capable of photorealistic and real-time rendering on complex scenes and arbitrary objects. Lastly, the effectiveness of our framework is demonstrated in a series of experiments which compare our engine both in terms of visual fidelity and computational efficiency with the leading commercial and open source solutions, namely Unreal Engine and Blender.Avelina Hadji-KyriacouOgnjen ArandjelovićMDPI AGarticlerenderingsphere tracingray tracinggraphicsphotorealismCUDA kernelsElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2730, p 2730 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	rendering sphere tracing ray tracing graphics photorealism CUDA kernels Electronics TK7800-8360
spellingShingle	rendering sphere tracing ray tracing graphics photorealism CUDA kernels Electronics TK7800-8360 Avelina Hadji-Kyriacou Ognjen Arandjelović Raymarching Distance Fields with CUDA
description	Raymarching is a technique for rendering implicit surfaces using signed distance fields. It has been known and used since the 1980s for rendering fractals and CSG (constructive solid geometry) surfaces, but has rarely been used for commercial rendering applications such as film and 3D games. Raymarching was first used for photorealistic rendering in the mid 2000s by demoscene developers and hobbyist graphics programmers, receiving little to no attention from the academic community and professional graphics engineers. In the present work, we explain why the use of Simple and Fast Multimedia Library (SFML) by nearly all existing approaches leads to a number of inefficiencies, and hence set out to develop a CUDA oriented approach instead. We next show that the usual data handling pipeline leads to further unnecessary data flow overheads and therefore propose a novel pipeline structure that eliminates much of redundancy in the manner in which data are processed and passed. We proceed to introduce a series of data structures which were designed with the specific aim of exploiting the pipeline’s strengths in terms of efficiency while achieving a high degree of photorealism, as well as the accompanying models and optimizations that ultimately result in an engine which is capable of photorealistic and real-time rendering on complex scenes and arbitrary objects. Lastly, the effectiveness of our framework is demonstrated in a series of experiments which compare our engine both in terms of visual fidelity and computational efficiency with the leading commercial and open source solutions, namely Unreal Engine and Blender.
format	article
author	Avelina Hadji-Kyriacou Ognjen Arandjelović
author_facet	Avelina Hadji-Kyriacou Ognjen Arandjelović
author_sort	Avelina Hadji-Kyriacou
title	Raymarching Distance Fields with CUDA
title_short	Raymarching Distance Fields with CUDA
title_full	Raymarching Distance Fields with CUDA
title_fullStr	Raymarching Distance Fields with CUDA
title_full_unstemmed	Raymarching Distance Fields with CUDA
title_sort	raymarching distance fields with cuda
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d84e6163314949898b24251d4431aaed
work_keys_str_mv	AT avelinahadjikyriacou raymarchingdistancefieldswithcuda AT ognjenarandjelovic raymarchingdistancefieldswithcuda
_version_	1718412439400218624

Raymarching Distance Fields with CUDA

Ejemplares similares