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Whole-Cloth Quilting Patterns from Photographs
(Association for Computing Machinery, Inc (ACM), 2017)
Whole-cloth quilts are decorative and functional artifacts made of plain cloth embellished with complicated stitching patterns. We describe a method that can automatically create a sewing pattern for a whole-cloth quilt ...
Quantitative Validation of Physically Based Deformable Models in Computer Graphics
(The Eurographics Association, 2018)
This paper presents a novel software framework for quantitative validation of physically-based deformable models in computer graphics. In the majority of previous studies, validation is qualitative (through visual ...
Depth-aware Neural Style Transfer
(Association for Computing Machinery, Inc (ACM), 2017)
Neural style transfer has recently received signi cant a ention and demonstrated amazing results. An e cient solution proposed by Johnson et al. trains feed-forward convolutional neural networks by de ning and optimizing ...
On Quality Indicators for Progressive Visual Analytics
(The Eurographics Association, 2019)
A key component in using Progressive Visual Analytics (PVA) is to be able to gauge the quality of intermediate analysis outcomes. This is necessary in order to decide whether a current partial outcome is already good enough ...
Visual Predictive Analytics using iFuseML
(The Eurographics Association, 2018)
Solving a predictive analytics problem involves multiple machine learning tasks in a workflow. Directing such workflows efficiently requires an understanding of data so as to identify and handle missing values and outliers, ...
Online Learning of Visualization Preferences through Dueling Bandits for Enhancing Visualization Recommendations
(The Eurographics Association, 2019)
A visualization recommender supports the user through automatic visualization generation. While previous contributions primarily concentrated on integrating visualization design knowledge either explicitly or implicitly, ...
Viewpoint Selection for Liquid Animations
(The Eurographics Association, 2018)
We propose a viewpoint selection method for time-varying liquid shapes in order to select the best viewpoint for liquid animations. First, viewpoint evaluation is performed by a combination of three evaluation terms; ...
Transferring Pose and Augmenting Background Variation for Deep Human Image Parsing
(The Eurographics Association, 2017)
Human parsing is a fundamental task to estimate semantic parts in a human image such as face, arm, leg, hat, and dress. Recent deep-learning based methods have achieved significant improvements, but collecting training ...
Automated Regression Tests for Character Animation Systems
(ACM, 2017)
We present a process to verify code changes in an animation system by using regression tests which guarantee to cover every combination of animation features used in production. For this, we need to identify the untested ...
Benchmarking Non-Photorealistic Rendering of Portraits
(Association for Computing Machinery, Inc (ACM), 2017)
We present a set of images for helping NPR practitioners evaluate their image-based portrait stylisation algorithms. Using a standard set both facilitates comparisons with other methods and helps ensure that presented ...