1 citations · 1 across the 9 of their papers we have counts for
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Dataset Biases and Shortcut Learning in Motion-Based AI-Generated Video Detection
Joren Michels, Lode Jorissen, Nick Michiels
The visual quality of AI-generated videos has improved drastically in recent years, making it increasingly difficult for humans to distinguish between real and synthetic media. In…
CRISTAL: Real-time Camera Registration in Static LiDAR Scans using Neural Rendering
Joni Vanherck, Steven Moonen, Brent Zoomers +4
Accurate camera localization is crucial for robotics and Extended Reality (XR), enabling reliable navigation and alignment of virtual and real content. Existing visual methods ofte…
NVGS: Neural Visibility for Occlusion Culling in 3D Gaussian Splatting
Brent Zoomers, Florian Hahlbohm, Joni Vanherck +3
3D Gaussian Splatting can exploit frustum culling and level-of-detail strategies to accelerate rendering of scenes containing a large number of primitives. However, the semi-transp…
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…
Real-time Neural Rendering of LiDAR Point Clouds
Joni Vanherck, Brent Zoomers, Tom Mertens +2
Static LiDAR scanners produce accurate, dense, colored point clouds, but often contain obtrusive artifacts which makes them ill-suited for direct display. We propose an efficient m…
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…
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,…