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Corentin Salaün
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2020 – today
- 2024
- [c2]Xingchang Huang, Corentin Salaün, Cristina Nader Vasconcelos, Christian Theobalt, A. Cengiz Öztireli, Gurprit Singh:
Blue noise for diffusion models. SIGGRAPH (Conference Paper Track) 2024: 28 - [i6]Xingchang Huang, Corentin Salaün, Cristina Nader Vasconcelos, Christian Theobalt, Cengiz Öztireli, Gurprit Singh:
Blue noise for diffusion models. CoRR abs/2402.04930 (2024) - [i5]Corentin Salaün, Xingchang Huang, Iliyan Georgiev, Niloy J. Mitra, Gurprit Singh:
Multiple importance sampling for stochastic gradient estimation. CoRR abs/2407.15525 (2024) - 2023
- [c1]Misa Korac, Corentin Salaün, Iliyan Georgiev, Pascal Grittmann, Philipp Slusallek, Karol Myszkowski, Gurprit Singh:
Perceptual error optimization for Monte Carlo animation rendering. SIGGRAPH Asia 2023: 89:1-89:10 - [i4]Misa Korac, Corentin Salaün, Iliyan Georgiev, Pascal Grittmann, Philipp Slusallek, Karol Myszkowski, Gurprit Singh:
Perceptual error optimization for Monte Carlo animation rendering. CoRR abs/2310.02955 (2023) - [i3]Corentin Salaün, Xingchang Huang, Iliyan Georgiev, Niloy J. Mitra, Gurprit Singh:
Efficient Gradient Estimation via Adaptive Sampling and Importance Sampling. CoRR abs/2311.14468 (2023) - 2022
- [j2]Corentin Salaün, Adrien Gruson, Binh-Son Hua, Toshiya Hachisuka, Gurprit Singh:
Regression-based Monte Carlo integration. ACM Trans. Graph. 41(4): 79:1-79:14 (2022) - [j1]Corentin Salaün, Iliyan Georgiev, Hans-Peter Seidel, Gurprit Singh:
Scalable Multi-Class Sampling via Filtered Sliced Optimal Transport. ACM Trans. Graph. 41(6): 261:1-261:14 (2022) - [i2]Corentin Salaün, Iliyan Georgiev, Hans-Peter Seidel, Gurprit Singh:
Scalable multi-class sampling via filtered sliced optimal transport. CoRR abs/2211.04314 (2022) - [i1]Corentin Salaün, Adrien Gruson, Binh-Son Hua, Toshiya Hachisuka, Gurprit Singh:
Regression-based Monte Carlo Integration. CoRR abs/2211.07422 (2022)
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