KERBL , Bernhard

Radiance Field methods have recently revolutionized novel-view synthesisof scenes captured with multiple photos or videos. However, achieving highvisual quality still requires neural networks that are costly to train and render,while recent faster methods inevitably trade off speed for quality. Forunbounded and complete scenes (rather than...

Radiance Field methods have recently revolutionized novel-view synthesisof scenes captured with multiple photos or videos. However, achieving highvisual quality still requires neural networks that are costly to train and render,while recent faster methods inevitably trade off speed for quality. Forunbounded and complete scenes (rather than...

Terrain analysis plays an important role in computer graphics, hydrology and geomorphology. In particular, analyzing the path of material flow over a terrain with consideration of local depressions is a precursor to many further tasks in erosion, river formation, and plant ecosystem simulation. For example, fluvial erosion simulation used in...

Neural Radiance Fields (NeRFs) have revolutionized novel view synthesis for captured scenes, with recent methods allowing interactive free-viewpoint navigation and fast training for scene reconstruction. However, the implicit representations used by these methods — often including neural networks and complex encodings— make them difficult to...

Visibility computation is a key element in computer graphics applications. More specifically, a from-region potentially visible set (PVS) is an established tool in rendering acceleration, but its high computational cost means a from-region PVS is almost always precomputed. Precomputation restricts the use of PVS to static scenes and leads to...