8 citations · 31 across the 10 of their papers we have counts for
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Point-Based 3D Reconstruction from Sparse Views under Known Illumination
Magnus Kaufmann Gjerde, Joakim Bruslund Haurum, Jeppe Revall Frisvad +3
Sparse view 3D reconstruction is commonly addressed with neural implicit surfaces or dense point-based representations such as Gaussian splatting. Surface-aware splatting methods i…
WildRelight: A Real-World Benchmark and Physics-Guided Adaptation for Single-Image Relighting
Lezhong Wang, Mehmet Onurcan Kaya, Siavash Bigdeli +1
Recent single-image relighting methods, powered by advanced generative models, have achieved impressive photorealism on synthetic benchmarks. However, their effectiveness in the co…
Materialist: Physically Based Editing Using Single-Image Inverse Rendering
Lezhong Wang, Duc Minh Tran, Ruiqi Cui +5
Achieving physically consistent image editing remains a significant challenge in computer vision. Existing image editing methods typically rely on neural networks, which struggle t…
MozzaVID: Mozzarella Volumetric Image Dataset
Pawel Tomasz Pieta, Peter Winkel Rasmussen, Anders Bjorholm Dahl +4
Influenced by the complexity of volumetric imaging, there is a shortage of established datasets useful for benchmarking volumetric deep-learning models. As a consequence, new and e…
Feature-Centered First Order Structure Tensor Scale-Space in 2D and 3D
Pawel Tomasz Pieta, Anders Bjorholm Dahl, Jeppe Revall Frisvad +2
The structure tensor method is often used for 2D and 3D analysis of imaged structures, but its results are in many cases very dependent on the user's choice of method parameters. W…
StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion Models
Lezhong Wang, Jeppe Revall Frisvad, Mark Bo Jensen +1
The demand for stereo images increases as manufacturers launch more XR devices. To meet this demand, we introduce StereoDiffusion, a method that, unlike traditional inpainting pipe…
Superaccurate Camera Calibration via Inverse Rendering
Morten Hannemose, Jakob Wilm, Jeppe Revall Frisvad
The most prevalent routine for camera calibration is based on the detection of well-defined feature points on a purpose-made calibration artifact. These could be checkerboard saddl…