title: Adaptive synthesis of distance fields.
abstract: We address the computational resource requirements of 3D example-based synthesis with an adaptive synthesis technique that uses a tree-based synthesis map. A signed-distance field (SDF) is determined for the 3D exemplars, and then new models can be synthesized as SDFs by neighborhood matching. Unlike voxel synthesis approach, our input is posed in the real domain to preserve maximum detail. In comparison to straightforward extensions to the existing volume texture synthesis approach, we made several improvements in terms of memory requirements, computation times, and synthesis quality. The inherent parallelism in this method makes it suitable for a multicore CPU. Results show that computation times and memory requirements are very much reduced, and large synthesized scenes exhibit fine details which mimic the exemplars.
authors.affiliation: Computer Graphics Laboratory, 245, Asan-Science Building, Korea University, Seoul 136-713, Korea. pocorall@gmail.com
authors.forename: Sung-Ho
authors.initials: SH
authors.lastname: Lee
authors.forename: Taejung
authors.initials: T
authors.lastname: Park
authors.forename: Jong-Hyeon
authors.initials: JH
authors.lastname: Kim
authors.forename: Chang-Hun
authors.initials: CH
authors.lastname: Kim