I am a PhD student at the Max-Planck-Institut für Informatik under the supervision of Gurprit Singh. I am working on stochastic Monte Carlo integration methods and their application to light transport simulations.

My main interests are :

• Blue noise error distribution
• Multiple importance sampling
• Multi-class sampling
• General variance reduction tools for Monte Carlo

Latest publications

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.

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.

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.