5 papers
Rasterized Steered Mixture of Experts for Efficient 2D Image Regression
Yi-Hsin Li, Mårten Sjöström, Sebastian Knorr +1
The Steered Mixture of Experts regression framework has demonstrated strong performance in image reconstruction, compression, denoising, and super-resolution. However, its high com…
Segmentation-Driven Initialization for Sparse-view 3D Gaussian Splatting
Yi-Hsin Li, Thomas Sikora, Sebastian Knorr +1
Sparse-view synthesis remains a challenging problem due to the difficulty of recovering accurate geometry and appearance from limited observations. While recent advances in 3D Gaus…
Real-Time Position-Aware View Synthesis from Single-View Input
Manu Gond, Emin Zerman, Sebastian Knorr +1
Recent advancements in view synthesis have significantly enhanced immersive experiences across various computer graphics and multimedia applications, including telepresence and ent…
Scope Meets Screen: Lessons Learned in Designing Composite Visualizations for Marksmanship Training Across Skill Levels
Emin Zerman, Jonas Carlsson, Mårten Sjöström
Marksmanship practices are required in various professions, including police, military personnel, hunters, as well as sports shooters, such as Olympic shooting, biathlon, and moder…
Adaptive Segmentation-Based Initialization for Steered Mixture of Experts Image Regression
Yi-Hsin Li, Sebastian Knorr, Mårten Sjöström +1
Kernel image regression methods have shown to provide excellent efficiency in many image processing task, such as image and light-field compression, Gaussian Splatting, denoising a…