Demo Data from EDBT 2026 / reviewers in the wild / expert
Simon Fussi
dblp:432/3066
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Rendering · 54% Virtual and augmented reality · 23% Visualization and visual analytics · 23% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering › gaussian splatting
3d gaussian splatting |
1.0 | 1 | 2026 | Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR · VR 2026 |
Virtual and augmented reality
immersive interaction |
1.0 | 1 | 2026 | Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR · VR 2026 |
Visualization and visual analytics › information visualization
multimodal visualization |
1.0 | 1 | 2026 | Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR · VR 2026 |
Rendering
novel view synthesis |
1.0 | 1 | 2026 | Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR · VR 2026 |
Rendering
dynamic scene representation |
0.3 | 1 | 2026 | Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VR · VR 2026 |
Methods — techniques the papers use, named apart from their topics
runtime transformation · 1.0gaussian splatting · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Shape-Shifting Splats: Realtime Context Translation for Gaussian Splatting in VRabstract3D Gaussian Splatting (3DGS) has revolutionized novel-view synthesis by producing photorealistic renderings of virtually any object. However, 3DGS methods primarily support static scene representations, limiting flexibility and preventing direct application in scenarios that require visual variety. Our novel approach, Shape-Shifting Splats, addresses this limitation by enabling dynamic runtime transformations of Gaussian splats. Our versatile formulation allows changes in both color and geometry during render time, without increasing memory usage or introducing visual artifacts. Once trained, our Shape-Shifting Splats generate high-fidelity novel views while supporting modifications in geometry and appearance of the underlying model. In addition to applications in gaming and e-commerce, our method is applicable to mobile, industrial maintenance, and inspection. With multimodal data (e.g., thermal and RGB), we create interactive 3D representations that allow inspectors wearing VR glasses to seamlessly switch between thermal and RGB views, helping to prevent oversights. Thomas Kernbauer, Simon Fussi, Philipp Fleck, Clemens Arth |
VR | 2 |