Explore Planica in AI-Enhanced VR
The VR Planica Experience is an innovative VR experience showcasing Slovenia’s iconic Planica ski jump. This immersive experience is visualized using state-of-the-art AI content creation technology known as Gaussian Splatting. As one of the first VR experiences to integrate Gaussian Splatting, Volumetric Video, Meshes, and Video, it offers a unique and immersive exploration of Planica.
Collaborators
This VR experience was developed as part of the TRANSMIXR research project, in collaboration with AFP, and RTV SLO.
Explore over 10 locations
This tethered VR experience allows users to explore over 10 distinct locations. Four locations let users soar in a hot-air balloon over expansive outdoor areas. Additionally, there are two segments where users can freely explore on foot, providing a more grounded perspective of the environment.
Interactive Features and Climate Change
Beyond exploration, the Planica Experience includes two interactive locations. In one, users can inspect Gaussian Splatting models, grabbing and even throwing them like Captain America’s shield. In the other location, the users can interview a climate change expert, answering the most asked questions regarding climate change and how it will impact Planica.
AI Tools and Gaussian Splatting
Gaussian Splatting is a cutting-edge AI technique used in 3D rendering. Unlike photogrammetry, which relies on creating 3D models from a large set of pictures, Gaussian Splatting uses AI to generate high-quality, photorealistic scenes from a limited set of images.
Gaussian Splatting does this by capturing images of a scene and converting them into a sparse point cloud. Each point is then transformed into a Gaussian, defined by parameters like position, color, and transparency. AI algorithms optimize these Gaussians to create a seamless and realistic 3D environment
In the Planica Experience, Gaussian Splatting is used to create immersive and detailed VR scenes. This technology allows users to explore the Planica ski ramp and surrounding areas with striking realism in real-time in VR!
Full Demo (V1.0.0)
Project Data
| Project Type | Research |
| Duration | 01.03.2023-01.02.2025 |
| Project Partner | TRANSMIXR, RTV SLO, AFP |
| Funding | Horizon Europe |
| Project Team | Aljosa Smolic, Philipp Haslbauer, Mike Pullen |