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Perceptually modeling realistic trees is important for many graphics applications. However, existing methods are mainly rule-based. Few have directly associated control parameters with user modeling intent and semantic tree shape descriptions. In this paper, we propose a new interactive tree modeling system, ExploreTree, that automatically deduces user modeling intent and supports iteratively design...
In this paper, we present a two-level statistical model for characterizing the stochastic and specific nature of trees. At the low level, we define plantons, which are a group of similar organs, to depict tree organ details statistically. At the high level, a set of transitions between plantons is provided to describe the stochastic distribution of organs. Based on such a tree model, we propose a...
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