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Found 4 papers, 3 papers with code
Controllable One-Shot Face Video Synthesis With Semantic Aware Prior
The one-shot talking-head synthesis task aims to animate a source image to another pose and expression, which is dictated by a driving frame.
One-Shot Generation of Near-Optimal Topology through Theory-Driven Machine Learning
We introduce a theory-driven mechanism for learning a neural network model that performs generative topology design in one shot given a problem setting, circumventing the conventional iterative process that computational design tasks usually entail.
Improving Direct Physical Properties Prediction of Heterogeneous Materials from Imaging Data via Convolutional Neural Network and a Morphology-Aware Generative Model
Direct prediction of material properties from microstructures through statistical models has shown to be a potential approach to accelerating computational material design with large design spaces.
Computational Physics Materials Science
Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design
Integrated Computational Materials Engineering (ICME) aims to accelerate optimal design of complex material systems by integrating material science and design automation.
