Searched for: +
(1 - 4 of 4)
document
Guo, Jerry Jinfeng (author), Eisemann, E. (author)
Numerical integration is fundamental in multiple Monte Carlo rendering problems. We present a sample reweighting scheme, including underlying theory, and analysis of numerical performance for the integration of an unknown one-dimensional function. Our method is simple to implement and builds upon the insight to link the weights to a function...
journal article 2021
document
Molenaar, M.L. (author), Eisemann, E. (author)
Sparse Voxel Directed Acyclic Graphs (SVDAGs) are an efficient solution for storing high-resolution voxel geometry. Recently, algorithms for the interactive modification of SVDAGs have been proposed that maintain the compressed geometric representation. Nevertheless, voxel attributes, such as colours, require an uncompressed storage, which...
journal article 2023
document
Guo, Jerry Jinfeng (author), Eisemann, M. (author), Eisemann, E. (author)
Monte-Carlo rendering requires determining the visibility between scene points as the most common and compute intense operation to establish paths between camera and light source. Unfortunately, many tests reveal occlusions and the corresponding paths do not contribute to the final image. In this work, we present next event estimation++ (NEE++):...
journal article 2020
document
Matusovic, Marko (author), Parakkat, Amal Dev (author), Eisemann, E. (author)
We introduce an approach for converting pixel art into high-quality vector images. While much progress has been made on automatic conversion, there is an inherent ambiguity in pixel art, which can lead to a mismatch with the artist's original intent. Further, there is room for incorporating aesthetic preferences during the conversion. In...
journal article 2023
Searched for: +
(1 - 4 of 4)