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Write Like You: Synthesizing Your Cursive Online Chinese Handwriting via Metric-based Meta Learning
(The Eurographics Association and John Wiley & Sons Ltd., 2021)
In this paper, we propose a novel Sequence-to-Sequence model based on metric-based meta learning for the arbitrary style transfer of online Chinese handwritings. Unlike most existing methods that treat Chinese handwritings ...
Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms
(The Eurographics Association and John Wiley & Sons Ltd., 2021)
Realistic 3D indoor scene datasets have enabled significant recent progress in computer vision, scene understanding, autonomous navigation, and 3D reconstruction. But the scale, diversity, and customizability of existing ...
Learning Direction Fields for Quad Mesh Generation
(The Eurographics Association and John Wiley & Sons Ltd., 2021)
State of the art quadrangulation methods are able to reliably and robustly convert triangle meshes into quad meshes. Most of these methods rely on a dense direction field that is used to align a parametrization from which ...
Learning Multiple-Scattering Solutions for Sphere-Tracing of Volumetric Subsurface Effects
(The Eurographics Association and John Wiley & Sons Ltd., 2021)
Accurate subsurface scattering solutions require the integration of optical material properties along many complicated light paths. We present a method that learns a simple geometric approximation of random paths in a ...
Compressive Neural Representations of Volumetric Scalar Fields
(The Eurographics Association and John Wiley & Sons Ltd., 2021)
We present an approach for compressing volumetric scalar fields using implicit neural representations. Our approach represents a scalar field as a learned function, wherein a neural network maps a point in the domain to ...
Enabling Viewpoint Learning through Dynamic Label Generation
(The Eurographics Association and John Wiley & Sons Ltd., 2021)
Optimal viewpoint prediction is an essential task in many computer graphics applications. Unfortunately, common viewpoint qualities suffer from two major drawbacks: dependency on clean surface meshes, which are not always ...
Deep Compositional Denoising for High-quality Monte Carlo Rendering
(The Eurographics Association and John Wiley & Sons Ltd., 2021)
We propose a deep-learning method for automatically decomposing noisy Monte Carlo renderings into components that kernelpredicting denoisers can denoise more effectively. In our model, a neural decomposition module learns ...
Scalable Surface Reconstruction with Delaunay-Graph Neural Networks
(The Eurographics Association and John Wiley & Sons Ltd., 2021)
We introduce a novel learning-based, visibility-aware, surface reconstruction method for large-scale, defect-laden point clouds. Our approach can cope with the scale and variety of point cloud defects encountered in real-life ...
Line Art Colorization Based on Explicit Region Segmentation
(The Eurographics Association and John Wiley & Sons Ltd., 2021)
Automatic line art colorization plays an important role in anime and comic industry. While existing methods for line art colorization are able to generate plausible colorized results, they tend to suffer from the color ...
MultiResGNet: Approximating Nonlinear Deformation via Multi-Resolution Graphs
(The Eurographics Association and John Wiley & Sons Ltd., 2021)
This paper presents a graph-learning-based, powerfully generalized method for automatically generating nonlinear deformation for characters with an arbitrary number of vertices. Large-scale character datasets with a ...