5 papers · 1 filter
TGIF2: Extended Text-Guided Inpainting Forgery Dataset & Benchmark
Hannes Mareen, Dimitrios Karageorgiou, Paschalis Giakoumoglou +3
Generative AI has made text-guided inpainting a powerful image editing tool, but at the same time a growing challenge for media forensics. Existing benchmarks, including our text-g…
POTR: Post-Training 3DGS Compression
Bert Ramlot, Martijn Courteaux, Peter Lambert +1
3D Gaussian Splatting (3DGS) has recently emerged as a promising contender to Neural Radiance Fields (NeRF) in 3D scene reconstruction and real-time novel view synthesis. 3DGS outp…
landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images
Jef Jonkers, Luc Duchateau, Glenn Van Wallendael +1
Anatomical landmark localization in 2D/3D images is a critical task in medical imaging. Although many general-purpose tools exist for landmark localization in classical computer vi…
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction
Jef Jonkers, Frank Coopman, Luc Duchateau +2
Automatic anatomical landmark localization in medical imaging requires not just accurate predictions but reliable uncertainty quantification for effective clinical decision support…
TGIF: Text-Guided Inpainting Forgery Dataset
Hannes Mareen, Dimitrios Karageorgiou, Glenn Van Wallendael +2
Digital image manipulation has become increasingly accessible and realistic with the advent of generative AI technologies. Recent developments allow for text-guided inpainting, mak…