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

21 citations · 46 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024★ 4 cited

PRoGS: Progressive Rendering of Gaussian Splats

Brent Zoomers, Maarten Wijnants, Ivan Molenaers +4

Over the past year, 3D Gaussian Splatting (3DGS) has received significant attention for its ability to represent 3D scenes in a perceptually accurate manner. However, it can requir…

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…

cs.CV2022★ 11 cited

Dataset of Industrial Metal Objects

Peter De Roovere, Steven Moonen, Nick Michiels +1

We present a diverse dataset of industrial metal objects. These objects are symmetric, textureless and highly reflective, leading to challenging conditions not captured in existing…