In this work, we explore a framework to synthetically generate facial data to be used as part of a toolchain to generate very large facial datasets.
In this work, we explore a framework to synthetically generate facial data to be used as part of a toolchain to generate very large facial datasets with a high ...
The proposed pipeline can be scaled to produce any number of labeled data samples by controlling the facial animations, body poses, scene illuminations, camera ...
PDF | On Jun 1, 2020, Shubhajit Basak and others published Methodology for Building Synthetic Datasets with Virtual Humans | Find, read and cite all the
In this paper we present an innovative methodology to generate a realistic, varied, balanced, and labelled dataset for visual inspection task of containers in ...
Methodology for Building Synthetic Datasets with Virtual Humans. Shubhajit Basak, Hossein Javidnia, Faisal Khan, Rachel McDonnell and Michael Schukat. In ...
Methodology for Building Synthetic Datasets with Virtual Humans ...
colab.ws › ISSC49989.2020.9180188
In this work, we explore a framework to synthetically generate facial data to be used as part of a toolchain to generate very large facial datasets with a high ...
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Aug 21, 2024 · Through extensive and carefully-designed experiments, we show that using SynPlay in model training leads to enhanced accuracy over existing ...
This work proposes an efficient real-to-virtual world cloning method, and validate the approach by building and publicly releasing a new video dataset ...
Instead, we built a synthetic population that is statistically accurate to the census-block level in order to run realistic simulations with virtual people in a ...