Publications de Boris Neubert | EPFL Graph Search

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Discovering Structured Variations Via Template Matching

Mark Pauly, Duygu Ceylan, Boris Neubert

Understanding patterns of variation from raw measurement data remains a central goal of shape analysis. Such an understanding reveals which elements are repeated, or how elements can be derived as structured variations from a common base element. We invest ...

Wiley2017

Self Tuning Texture Optimization

Mark Pauly, Boris Neubert, Alexandre Kaspar

The goal of example-based texture synthesis methods is to generate arbitrarily large textures from limited exemplars in order to fit the exact dimensions and resolution required for a specific modeling task. The challenge is to faithfully capture all of th ...

Wiley-Blackwell2015

Interactive Design of Probability Density Functions for Shape Grammars

Mark Pauly, Duygu Ceylan, Boris Neubert, Stefan Lienhard

A shape grammar defines a procedural shape space containing a variety of models of the same class, e.g. buildings, trees, furniture, airplanes, bikes, etc. We present a framework that enables a user to interactively design a probability density function (p ...

Assoc Computing Machinery2015

Discovering Structured Variations via Coupled Template Matching

Mark Pauly, Duygu Ceylan, Boris Neubert, Ngoc Minh Dang

Understanding patterns of variation from raw measurement data remains a central goal of shape analysis. This understanding reveals which elements are exactly repeated, or how elements can be derived as structured variations from a common base element. We i ...

2014

SAFE: Structure-aware Facade Editing

Mark Pauly, Duygu Ceylan, Boris Neubert, Ngoc Minh Dang

Many man-made objects, in particular building facades, exhibit dominant structural relations such as symmetry and regularity. When editing these shapes, a common objective is to preserve these relations. However, often there are numerous plausible editing ...

Blackwell Publishing2014

Capturing and Animating the Morphogenesis of Polygonal Tree Models

Boris Neubert

Given a static tree model we present a method to compute developmental stages that approximate the tree's natural growth. The tree model is analyzed and a graph-based description its skeleton is determined. Based on structural similarity, branches are adde ...

Assoc Computing Machinery2012

Boris Neubert

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