Markus Plack — accepted AI-conference papers

2026

Neu-PiG: Neural Preconditioned Grids for Fast Dynamic Surface Reconstruction on Long Sequences

Julian Kaltheuner, Hannah Dröge, Markus Plack, Patrick Stotko, Reinhard Klein

CVPR 2026

Temporally consistent surface reconstruction of dynamic 3D objects from unstructured point cloud data remains challenging, especially for very long sequences. Existing methods either optimize deformations incrementally, risking drift and requiring long runtimes, or rely on complex learned models tha

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2023

Frame Interpolation Transformer and Uncertainty Guidance

Markus Plack, Karlis Martins Briedis, Abdelaziz Djelouah, Matthias B. Hullin, Markus Gross, Christopher Schroers

CVPR 2023poster

Video frame interpolation has seen important progress in recent years, thanks to developments in several directions. Some works leverage better optical flow methods with improved splatting strategies or additional cues from depth, while others have investigated alternative approaches through direct…

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