IDLab-MEDIA

IDLab-MEDIA

Our research team (part of Ghent University and imec) focuses on the representation, processing, compression and interactive delivery of emerging visual media formats.

TGIF2 - Extended Text-Guided Inpainting Forgery Dataset and Benchmark

TGIF2 - Extended Text-Guided Inpainting Forgery Dataset and Benchmark

TGIF2 - Extended Text-Guided Inpainting Forgery Dataset and Benchmark was accepted at Journal on Information Security.

PhD - Efficient Techniques for Light Field Rendering Featured

PhD - Efficient Techniques for Light Field Rendering

PhD - From Images to Immersion: Efficient Techniques for Light Field Rendering

WACV26 - Ignoring the Decoy

WACV26 - Ignoring the Decoy

Our paper titled "Ignoring the Decoy - A Novel Approach for Robust Image Forensics" was accepted at the SynRDinBAS workshop at WACV 2026

How AI-based Regeneration Reshapes Multimedia Forensics - WACV26 Keynote

How AI-based Regeneration Reshapes Multimedia Forensics - WACV26 Keynote

Generative Anchored Fields: Controlled Data Generation via Emergent Velocity Fields and Transport Algebra

Generative Anchored Fields: Controlled Data Generation via Emergent Velocity Fields and Transport Algebra

We present Generative Anchored Fields (GAF), a generative model that learns independent endpoint predictors, J (noise) and K (data), from any point on a linear bridge.

N-AI-tingale - Early Detection of Patient Deterioration with AI

N-AI-tingale - Early Detection of Patient Deterioration with AI

Harnessing the power of nurse’s intuition to predict in-hospital patient deterioration by developing a machine learning algorithm to detect clinical cues in video and audio

PhD - Mixture Models for Light Field Data Featured

PhD - Mixture Models for Light Field Data

PhD - Efficient Optimization and Rendering of Wide Mixture Models for Light Field Data