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Background
We are offering a Master’s thesis or possible internship within digital twins, eXtended reality, robotics, & autonomous systems in the area of computer vision, 3D graphics plus AI-driven scene representation. We are focusing on the emerging field of 3D Gaussian . It has gained attention as a powerful alternative to Neural Radiance for high-quality, real-time rendering of complex 3D environments. By representing scenes as collections of anisotropic Gaussian primitives, the method enables photorealistic rendering with significantly improved efficiency and interactivity. Your work will be algorithm development, implementation, experimentation, and scene evaluation using GPU-based frameworks.
Thesis Focus
Real-time 3D scene reconstruction
Dynamic Gaussian Splatting for moving objects and environments
Compression and optimization of Gaussian representations
Work tasks
State of the art...