activity
20222025
most citedCAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry

21 citations · 32 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

Cut-and-Splat: Leveraging Gaussian Splatting for Synthetic Data Generation

Bram Vanherle, Brent Zoomers, Jeroen Put +2

Generating synthetic images is a useful method for cheaply obtaining labeled data for training computer vision models. However, obtaining accurate 3D models of relevant objects is…

cs.CV2024★ 1 cited

Genetic Learning for Designing Sim-to-Real Data Augmentations

Bram Vanherle, Nick Michiels, Frank Van Reeth

Data augmentations are useful in closing the sim-to-real domain gap when training on synthetic data. This is because they widen the training data distribution, thus encouraging the…

cs.CV2024

VATr++: Choose Your Words Wisely for Handwritten Text Generation

Bram Vanherle, Vittorio Pippi, Silvia Cascianelli +3

Styled Handwritten Text Generation (HTG) has received significant attention in recent years, propelled by the success of learning-based solutions employing GANs, Transformers, and,…

cs.CV2022★ 5 cited

Analysis of Training Object Detection Models with Synthetic Data

Bram Vanherle, Steven Moonen, Frank Van Reeth +1

Recently, the use of synthetic training data has been on the rise as it offers correctly labelled datasets at a lower cost. The downside of this technique is that the so-called dom…

cs.CV2022★ 21 cited

CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry

Steven Moonen, Bram Vanherle, Joris de Hoog +3

The use of computer vision for product and assembly quality control is becoming ubiquitous in the manufacturing industry. Lately, it is apparent that machine learning based solutio…

cs.CV2022★ 5 cited

Real-time Detection of 2D Tool Landmarks with Synthetic Training Data

Bram Vanherle, Jeroen Put, Nick Michiels +1

In this paper a deep learning architecture is presented that can, in real time, detect the 2D locations of certain landmarks of physical tools, such as a hammer or screwdriver. To…

cs.CV2022

Automatic Camera Control and Directing with an Ultra-High-Definition Collaborative Recording System

Bram Vanherle, Tim Vervoort, Nick Michiels +1

Capturing an event from multiple camera angles can give a viewer the most complete and interesting picture of that event. To be suitable for broadcasting, a human director needs to…