Volumetric Visions
The workshop will introduce participants to 3D Gaussian Splatting (3DGS), a novel machine learning approach to volumetric data representation and rendering, and explore its application in Extended Reality (XR).
The workshop will cover 3DGS technology and its artistic potential, followed by hands-on practice. Participants will learn how to capture objects and scenes, render video and explore VR integration.
Meeting Point: Workshop Room
Language: EN
Tickets: FESTIVALPASS+, FESTIVALPASS, ONE DAY PASS
Max. 25
The target audience is artists and technologists interested in digital art and volumetric technologies. Participants should bring their smartphones for scene capture. Optionally, they could bring their laptops, which are more suitable for video editing/rendering tasks.
3D Gaussian Splatting for XR, photo: Artem Konevskikh
3D Gaussian Splatting for XR, photo: Artem Konevskikh
Bio
-
Photo: Artem KonevskikhArtem Konevskikh
RU
Artem Konevskikh is a Vienna-based machine learning engineer working with artists and creators. His diverse background, ranging from data analysis at CERN to developing ML solutions for urban planning, provides a strong foundation for projects at the intersection of technology and art. Konevskikh explores how artificial intelligence and emerging technologies impact creative processes, focusing on the application of neural networks and volumetric technologies in digital art.
Presented in the context of the Realities in Transition project. Realities in Transitionis co-funded by the Creative Europe Programme of the European Union.
