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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 ...
Learning-Based Animation of Clothing for Virtual Try-On
(The Eurographics Association and John Wiley & Sons Ltd., 2019)
This paper presents a learning-based clothing animation method for highly efficient virtual try-on simulation. Given a garment, we preprocess a rich database of physically-based dressed character simulations, for multiple ...
High-Resolution Neural Face Swapping for Visual Effects
(The Eurographics Association and John Wiley & Sons Ltd., 2020)
In this paper, we propose an algorithm for fully automatic neural face swapping in images and videos. To the best of our knowledge, this is the first method capable of rendering photo-realistic and temporally coherent ...
Motion Retargetting based on Dilated Convolutions and Skeleton-specific Loss Functions
(The Eurographics Association and John Wiley & Sons Ltd., 2020)
Motion retargetting refers to the process of adapting the motion of a source character to a target. This paper presents a motion retargetting model based on temporal dilated convolutions. In an unsupervised manner, the ...
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow
(The Eurographics Association and John Wiley & Sons Ltd., 2020)
We propose an end-to-end trained neural network architecture to robustly predict the complex dynamics of fluid flows with high temporal stability. We focus on single-phase smoke simulations in 2D and 3D based on the ...
DeepBRDF: A Deep Representation for Manipulating Measured BRDF
(The Eurographics Association and John Wiley & Sons Ltd., 2020)
Effective compression of densely sampled BRDF measurements is critical for many graphical or vision applications. In this paper, we present DeepBRDF, a deep-learning-based representation that can significantly reduce the ...
Style-Controllable Speech-Driven Gesture Synthesis Using Normalising Flows
(The Eurographics Association and John Wiley & Sons Ltd., 2020)
Automatic synthesis of realistic gestures promises to transform the fields of animation, avatars and communicative agents. In off-line applications, novel tools can alter the role of an animator to that of a director, who ...
Neural Denoising with Layer Embeddings
(The Eurographics Association and John Wiley & Sons Ltd., 2020)
We propose a novel approach for denoising Monte Carlo path traced images, which uses data from individual samples rather than relying on pixel aggregates. Samples are partitioned into layers, which are filtered separately, ...
Photorealistic Material Editing Through Direct Image Manipulation
(The Eurographics Association and John Wiley & Sons Ltd., 2020)
Creating photorealistic materials for light transport algorithms requires carefully fine-tuning a set of material properties to achieve a desired artistic effect. This is typically a lengthy process that involves a trained ...
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 ...