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cs.GR2023★ 2 cited
Perceptual error optimization for Monte Carlo animation rendering
Miša Korać, Corentin Salaün, Iliyan Georgiev +4
Independently estimating pixel values in Monte Carlo rendering results in a perceptually sub-optimal white-noise distribution of error in image space. Recent works have shown that…
cs.GR2023★ 2 cited
Joint Sampling and Optimisation for Inverse Rendering
Martin Balint, Karol Myszkowski, Hans-Peter Seidel +1
When dealing with difficult inverse problems such as inverse rendering, using Monte Carlo estimated gradients to optimise parameters can slow down convergence due to variance. Aver…
cs.GR2023★ 4 cited
Patternshop: Editing Point Patterns by Image Manipulation
Xingchang Huang, Tobias Ritschel, Hans-Peter Seidel +2
Point patterns are characterized by their density and correlation. While spatial variation of density is well-understood, analysis and synthesis of spatially-varying correlation is…