Towards 3D Live Streaming of Sports Events
ACM SIGGRAPH 2025 – Journal Track
Authors: Junkai Huang, Saswat Subhajyoti Mallick, Alejandro Amat, Marc Ruiz Olle, Albert Mosella-Montoro, Bernhard Kerbl, Francisco Vicente Carrasco, Fernando De La Torre
This project introduces a new system for 3D live streaming of sports events, using volumetric capture, Gaussian Splatting, and synthetic datasets rendered in real-time with Unreal Engine 5.
For more technical details, visit the official project page:
humansensinglab.github.io/basket-multiview/data/
The scene features a total of 89 strategically placed cameras arranged around the stadium, enabling comprehensive multiview capture from synchronized viewpoints.
The lighting setup replicates realistic basketball court illumination using physically accurate light sources.