The Probabilistic Normal Epipolar Constraint for Frame- To-Frame Rotation Optimization under Uncertain Feature Positions. - Dominik Muhle; Lukas Koestler; Nikolaus Demmel; Florian Bernard; Daniel Cremers (CVPR, 2022)

Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares. - Dominik Muhle; Lukas Koestler; Krishna Murthy Jatavallabhula; Daniel Cremers (CVPR, 2023)

S4C: Self-Supervised Semantic Scene Completion With Neural Fields. - Adrian Hayler; Felix Wimbauer; Dominik Muhle; Christian Rupprecht 001; Daniel Cremers (3DV, 2024)

Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation. - Keonhee Han; Dominik Muhle; Felix Wimbauer; Daniel Cremers (CVPR, 2024)

Gaussian Splatting in Style. - Abhishek Saroha; Mariia Gladkova; Cecilia Curreli; Dominik Muhle; Tarun Yenamandra; Daniel Cremers (GCPR (2), 2024)

Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction. - Cecilia Curreli; Dominik Muhle; Abhishek Saroha; Zhenzhang Ye; Riccardo Marin; Daniel Cremers (CVPR, 2025)

AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos. - Felix Wimbauer; Weirong Chen; Dominik Muhle; Christian Rupprecht 001; Daniel Cremers (CVPR, 2025)

IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals. - Markus Gross 003; Aya Fahmy; Danit Niwattananan; Dominik Muhle; Rui Song 003; Daniel Cremers; Henri Meeß (CoRR, 2025)

GECO: Geometrically Consistent Embedding with Lightspeed Inference. - Regine Hartwig; Dominik Muhle; Riccardo Marin; Daniel Cremers (CoRR, 2025)

Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images. - Philipp Wulff; Felix Wimbauer; Dominik Muhle; Daniel Cremers (CoRR, 2025)