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Srinath Ravichandran

dblp:163/9210 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Rendering · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering › light transport
path integral formulation
0.312018
A radiative transfer framework for non-exponential media · ACM Trans. Graph. 2018
Rendering
radiative transfer
0.312018
A radiative transfer framework for non-exponential media · ACM Trans. Graph. 2018
Rendering › light transport
volumetric light transport
0.312018
A radiative transfer framework for non-exponential media · ACM Trans. Graph. 2018

Methods — techniques the papers use, named apart from their topics

stochastic process modeling · 0.3path integral · 0.3monte carlo rendering · 0.3
YearPublicationVenuePosition
2025 RenderMan XPU: A Hybrid CPU+GPU Renderer for Interactive and Final-frame Rendering
Per H. Christensen, Julian Fong, Charlie Kilpatrick, Francisco Gonzalez, Srinath Ravichandran, Akshay Shah, Ethan Jaszewski, Stephen Friedman, James Burgess, Trina M. Roy, Tom Nettleship, Meghana Seshadri, Susan Salituro
Comput. Graph. Forum5
2018 A radiative transfer framework for non-exponential media
abstract
We develop a new theory of volumetric light transport for media with non-exponential free-flight distributions. Recent insights from atmospheric sciences and neutron transport demonstrate that such distributions arise in the presence of correlated scatterers, which are naturally produced by processes such as cloud condensation and fractal-pattern formation. Our theory formulates a non-exponential path integral as the result of averaging stochastic classical media, and we introduce practical models to solve the resulting averaging problem efficiently. Our theory results in a generalized path integral which allows us to handle non-exponential media using the full range of Monte Carlo rendering algorithms while enriching the range of achievable appearance. We propose parametric models for controlling the statistical correlations by leveraging work on stochastic processes, and we develop a method to combine such unresolved correlations (and the resulting non-exponential free-flight behavior) with explicitly modeled macroscopic heterogeneity. This provides a powerful authoring approach where artists can freely design the shape of the attenuation profile separately from the macroscopic heterogeneous density, while our theory provides a physically consistent interpretation in terms of a path space integral. We address important considerations for graphics including reciprocity and bidirectional rendering algorithms, all in the presence of surfaces and correlated media.
Benedikt Bitterli, Srinath Ravichandran, Thomas Müller 0013, Magnus Wrenninge, Jan Novák, Steve Marschner, Wojciech Jarosz
ACM Trans. Graph.2