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Found 6 papers, 3 papers with code
Genetic Learning for Designing Sim-to-Real Data Augmentations
This is because they widen the training data distribution, thus encouraging the model to generalize better to other domains.
VATr++: Choose Your Words Wisely for Handwritten Text Generation
Styled Handwritten Text Generation (HTG) has received significant attention in recent years, propelled by the success of learning-based solutions employing GANs, Transformers, and, preliminarily, Diffusion Models.
Analysis of Training Object Detection Models with Synthetic Data
The downside of this technique is that the so-called domain gap between the real target images and synthetic training data leads to a decrease in performance.
CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry
The use of computer vision for product and assembly quality control is becoming ubiquitous in the manufacturing industry.
Real-time Detection of 2D Tool Landmarks with Synthetic Training Data
To avoid the need for an exact textured 3D model of the tool in question, it is shown that the model will generalize to an unseen tool when trained on a set of different 3D models of the same type of tool.
Automatic Camera Control and Directing with an Ultra-High-Definition Collaborative Recording System
Using a user study it is shown, for a number of different scenarios, that the proposed automated director is able to capture an event with aesthetically pleasing video compositions and human-like shot switching behavior.
