Language Models for German Text Simplification: Overcoming Parallel Data Scarcity through Style-specific Pre-training. - Miriam Anschütz; Joshua Oehms; Thomas Wimmer 001; Bartlomiej Jezierski; Georg Groh (ACL (Findings), 2023)

Scale-Equivariant Deep Learning for 3D Data. - Thomas Wimmer 001; Vladimir Golkov; Hoai Nam Dang; Moritz Zaiss; Andreas Maier 001; Daniel Cremers (CoRR, 2023)

Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution. - Hoai Nam Dang; Vladimir Golkov; Thomas Wimmer 001; Daniel Cremers; Andreas K. Maier; Moritz Zaiss (CoRR, 2023)

Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features. - Thomas Wimmer 001; Peter Wonka; Maks Ovsjanikov (CVPR, 2024)

Gaussians-to-Life: Text-Driven Animation of 3D Gaussian Splatting Scenes. - Thomas Wimmer 001; Michael Oechsle; Michael Niemeyer; Federico Tombari (3DV, 2025)

MET3R: Measuring Multi-View Consistency in Generated Images. - Mohammad Asim; Christopher Wewer; Thomas Wimmer 001; Bernt Schiele; Jan Eric Lenssen (CVPR, 2025)

Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels. - Olaf Dünkel; Thomas Wimmer 001; Christian Theobalt; Christian Rupprecht 001; Adam Kortylewski (CoRR, 2025)