A survey on rendering homogeneous participating media

Wu, Wenshi; Wang, Beibei; Yan, Ling‐Qi

doi:10.1007/s41095-021-0249-1

Cited by 5 publications

(2 citation statements)

References 66 publications

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“…After Cerezo et al [CPP*05] conducted a survey about light propagation in the medium more than a decade ago, Nov'ak et al [NGHJ18,NGH*18] summarized its developments over the next 10 years. Recently, Wu et al [WWY22] introduced the newest groups for homogeneous participating media. However, all of these surveys have only discussed methods based on path tracing, which uses Monte Carlo (MC) to solve the problem, and none of them have focused on sub-surface scattering problems based on diffusion theory.…”

Section: Introductionmentioning

confidence: 99%

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State of the Art in Efficient Translucent Material Rendering with BSSRDF

Liang,

Gao,

et al. 2023

Computer Graphics Forum

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Sub‐surface scattering is always an important feature in translucent material rendering. When light travels through optically thick media, its transport within the medium can be approximated using diffusion theory, and is appropriately described by the bidirectional scattering‐surface reflectance distribution function (BSSRDF). BSSRDF methods rely on assumptions about object geometry and light distribution in the medium, which limits their applicability to general participating media problems. However, despite the high computational cost of path tracing, BSSRDF methods are often favoured due to their suitability for real‐time applications. We review these methods and discuss the most recent breakthroughs in this field. We begin by summarizing various BSSRDF models and then implement most of them in a 2D searchlight problem to demonstrate their differences. We focus on acceleration methods using BSSRDF, which we categorize into two primary groups: pre‐computation and texture methods. Then we go through some related topics, including applications and advanced areas where BSSRDF is used, as well as problems that are sometimes important yet are ignored in sub‐surface scattering estimation. In the end of this survey, we point out remaining constraints and challenges, which may motivate future work to facilitate sub‐surface scattering.

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Section: Introductionmentioning

confidence: 99%

“…Recently, Wu et al. [WWY22] introduced the newest groups for homogeneous participating media. However, all of these surveys have only discussed methods based on path tracing, which uses Monte Carlo (MC) to solve the problem, and none of them have focused on sub‐surface scattering problems based on diffusion theory.…”

Section: Introductionmentioning

confidence: 99%

State of the Art in Efficient Translucent Material Rendering with BSSRDF

Liang,

Gao,

et al. 2023

Computer Graphics Forum

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Message from the Editor-in-Chief

2022

Comp. Visual Media

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I would like to take this opportunity to thank everyone who has helped to make Computational Visual Media a success in its eighth year of 2022. In particular, my thanks go to the authors, the reviewers, and the Editorial Board members, as well as the staff of Springer and Tsinghua University Press. A total of 38 papers were published in these issues in 2022, including regular submitted papers, and papers recommended by the CVM Conference.As in 2020 and 2021, Computational Visual Media selected several outstanding papers as spotlight papers which were publicized in social media. These 5 papers were selected in 2022:Deep image synthesis from intuitive user input: A review and perspectives [1], Transformers in computational visual media: A survey [2], A survey on rendering homogeneous participating media [3], Attention mechanisms in computer vision: A survey [4], Constructing self-supporting surfaces with planar quadrilateral elements [5]. Exciting news for Computational Visual Media in 2022 was its first impact factor provided by Web of Science, 4.127, which ranks it 3rd amongst graphics journals following ACM TOG and IEEE TVCG. Despite its short history, Computational Visual Media has been included in almost all important indexing and database services, including SCIE, DBLP, Ei Compendex, INSPEC, and SCOPUS.We look forward to receiving further excellent papers in 2023!

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A significance sampling method for visualizing function-based scenes

Vyatkin,

Dolgovesov

2024

E3S Web of Conf.

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The article considers the task of rendering function-based scenes with a sample of significance to reduce variance. A sampling method based on significance with an optimal density is proposed. Samples with optimal density are generated in an additional space mapping. An algorithm is used that allows you to nonlinear deform an additional space mapping with the calculation of optimal densities. The algorithm implements a change in the deformation integration variables. As a result, a method has been implemented that leads to an effective reduction of variance in functionally defined scenes.

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A survey on rendering homogeneous participating media

Cited by 5 publications

References 66 publications

State of the Art in Efficient Translucent Material Rendering with BSSRDF

State of the Art in Efficient Translucent Material Rendering with BSSRDF

Message from the Editor-in-Chief

A significance sampling method for visualizing function-based scenes

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