Stephan Garbin — accepted AI-conference papers

2026

Eulerian Gaussian Splatting using Hashed Probability Pyramids

Mia Gaia Polansky, George Kopanas, Stephan Garbin, Todd Zickler, Dor Verbin

CVPR 2026

We introduce a probabilistic splat-based radiance field framework that retains the fast rasterization and test-time efficiency of 3D Gaussian Splatting (3DGS) while replacing heuristic primitive manipulation with gradient-based optimization of a volumetric probability density. Rather than relocating

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2022

3D Face Reconstruction with Dense Landmarks

Erroll Wood, Tadas Baltrušaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljević +6

ECCV 2022poster

"Landmarks often play a key role in face analysis, but many aspects of identity or expression cannot be represented by sparse landmarks alone. Thus, in order to reconstruct faces more accurately, landmarks are often combined with additional signals like depth images or techniques like differentiable…

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