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Regression-based Monte Carlo Integration

Corentin Salaün, Adrien Gruson, Binh-Son Hua, Toshiya Hachisuka, Gurprit Singh

ACM Siggraph 2022 (Journal track)
Published in ACM Transactions on Graphics, Volume 41, 2022

Recommended citation: Salaun, Corentin. (2022). "Regression-based Monte Carlo Integration" ACM Transactions on Graphics, Volume 41.

Scalable multi-class sampling via filtered sliced optimal transport

Corentin Salaün, Iliyan Georgiev, Hans-Peter Seidel, Gurprit Singh

ACM Siggraph asia 2022 (Journal track)
Published in ACM Transactions on Graphics, Volume 41, 2022

Recommended citation: Salaun, Corentin. (2022). "Scalable multi-class sampling via filtered sliced optimal transport" ACM Transactions on Graphics, Volume 41.

Perceptual error optimization for Monte Carlo animation rendering

Miša Korać, Corentin Salaün, Iliyan Georgiev, Pascal Grittmann, Philipp Slusallek, Gurprit Singh

ACM Siggraph asia 2023 (Conference track)
Published in SIGGRAPH Asia 2023 Conference Papers, 2023

Recommended citation: Korać, Miša. (2023). "Perceptual error optimization for Monte Carlo animation rendering" SIGGRAPH Asia 2023 Conference Papers.

Blue noise for diffusion models

Xingchang Huang, Corentin Salaün, Cristina Vasconcelos, Christian Theobalt, Cengiz Öztireli, Gurprit Singh

ACM Siggraph 2024 (Conference track)
Published in SIGGRAPH 2024 Conference Papers, 2024

Recommended citation: Huang, Xingchang. (2024). "Blue noise for diffusion models" SIGGRAPH 2024 Conference Papers.

Robust control variates optimization for rendering

Published: July 19, 2022

Abstract

Mathematics refresher course

Undergraduate course, Rennes 1, BUT1 GEII, 2023

The Mathematics Refresher Course is designed for first-year students to review and reinforce key mathematical concepts after the summer break. This course focus on essential topics such as derivatives, trigonometry, and functional analysis, providing a comprehensive review through targeted exercise sessions.

Realistic Image Synthesis

Advanced lecture, Universität des Saarlandes, Computer Graphics, 2024

This advanced lecture discusses the mathematical concepts and algorithms that are used to simulate the propagation of light in a virtual scene. The topics include Monte Carlo sampling, various Global Illumination algorithms (from the basic Path Tracing algorithm to more advanced algorithms like Vertex Connection and Merging), and HDR imaging. In the practical exercises, the students implement some of the algorithms discussed in the lecture in a lightweight rendering framework. (courses page)