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Lode Jorissen

3 papers indexed

arxivcs.GRcs.CV2026-07-06

SSA-3DGS: Unsupervised Removal of Screen-Space Artifacts for 3D Gaussian Splatting

Kristof Overdulve, Lode Jorissen, Nick Michiels

Novel View Synthesis (NVS) methods, such as 3D Gaussian Splatting (3DGS), rely heavily on the assumption of clean, multi-view consistent, posed input images. Real-world captures can violate this assumption due to screen-space artifacts-static occlusions fixed to the 2D image plan…

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arxivcs.CV2026-07-01

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 this work, we evaluate the robustness and applicability of four state-of-the-art motion-based AI-gen…

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