Oechsle, Michael

9 publications

ICLR 2026 AnyUp: Universal Feature Upsampling Thomas Wimmer, Prune Truong, Marie-Julie Rakotosaona, Michael Oechsle, Federico Tombari, Bernt Schiele, Jan Eric Lenssen

ICLR 2025 CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation Nikolai Kalischek, Michael Oechsle, Fabian Manhardt, Philipp Henzler, Konrad Schindler, Federico Tombari

NeurIPS 2025 Learning Neural Exposure Fields for View Synthesis Michael Niemeyer, Fabian Manhardt, Marie-Julie Rakotosaona, Michael Oechsle, Christina Tsalicoglou, Keisuke Tateno, Jonathan T. Barron, Federico Tombari

CVPRW 2025 Splat-SLAM: Globally Optimized RGB-Only SLAM with 3D Gaussians Erik Sandström, Ganlin Zhang, Keisuke Tateno, Michael Oechsle, Michael Niemeyer, Youmin Zhang, Manthan Patel, Luc Van Gool, Martin R. Oswald, Federico Tombari

ICCV 2021 UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction Michael Oechsle, Songyou Peng, Andreas Geiger

CVPR 2020 Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision Michael Niemeyer, Lars Mescheder, Michael Oechsle, Andreas Geiger

ICCV 2019 Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics Michael Niemeyer, Lars Mescheder, Michael Oechsle, Andreas Geiger

CVPR 2019 Occupancy Networks: Learning 3D Reconstruction in Function Space Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger

ICCV 2019 Texture Fields: Learning Texture Representations in Function Space Michael Oechsle, Lars Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger