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Deep Video-Based Performance Cloning
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
We present a new video-based performance cloning technique. After training a deep generative network using a reference video capturing the appearance and dynamics of a target actor, we are able to generate videos where ...
Deep Line Drawing Vectorization via Line Subdivision and Topology Reconstruction
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
Vectorizing line drawing is necessary for the digital workflows of 2D animation and engineering design. But it is challenging due to the ambiguity of topology, especially at junctions. Existing vectorization methods either ...
Neural BTF Compression and Interpolation
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
The Bidirectional Texture Function (BTF) is a data-driven solution to render materials with complex appearance. A typical capture contains tens of thousands of images of a material sample under varying viewing and lighting ...
A CNN-based Flow Correction Method for Fast Preview
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
Eulerian-based smoke simulations are sensitive to the initial parameters and grid resolutions. Due to the numerical dissipation on different levels of the grid and the nonlinearity of the governing equations, the differences ...
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
This paper presents a novel generative model to synthesize fluid simulations from a set of reduced parameters. A convolutional neural network is trained on a collection of discrete, parameterizable fluid simulation velocity ...
Style Mixer: Semantic-aware Multi-Style Transfer Network
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
Recent neural style transfer frameworks have obtained astonishing visual quality and flexibility in Single-style Transfer (SST), but little attention has been paid to Multi-style Transfer (MST) which refers to simultaneously ...
Latent Space Physics: Towards Learning the Temporal Evolution of Fluid Flow
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
We propose a method for the data-driven inference of temporal evolutions of physical functions with deep learning. More specifically, we target fluid flow problems, and we propose a novel LSTM-based approach to predict the ...
What's in a Face? Metric Learning for Face Characterization
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
We present a method for determining which facial parts (mouth, nose, etc.) best characterize an individual, given a set of that individual's portraits. We introduce a novel distinctiveness analysis of a set of portraits, ...
A Unified Neural Network for Panoptic Segmentation
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
In this paper, we propose a unified neural network for panoptic segmentation, a task aiming to achieve more fine-grained segmentation. Following existing methods combining semantic and instance segmentation, our method ...
Learning to Importance Sample in Primary Sample Space
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
Importance sampling is one of the most widely used variance reduction strategies in Monte Carlo rendering. We propose a novel importance sampling technique that uses a neural network to learn how to sample from a desired ...