Michael Oechsle

According to our database, Michael Oechsle authored at least 20 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DiskChunGS: Large-Scale 3D Gaussian SLAM Through Chunk-Based Memory Management.

Casimir Feldmann, Maximum Wilder-Smith, Vaishakh Patil, Michael Oechsle, Michael Niemeyer, Keisuke Tateno, Marco Hutter

IEEE Robotics Autom. Lett., April, 2026

Stepper: Stepwise Immersive Scene Generation with Multiview Panoramas.

Felix Wimbauer, Fabian Manhardt, Michael Oechsle, Nikolai Kalischek, Christian Rupprecht, Daniel Cremers, Federico Tombari

CoRR, March, 2026

MOSAIC-GS: Monocular Scene Reconstruction via Advanced Initialization for Complex Dynamic Environments.

Svitlana Morkva, Maximum Wilder-Smith, Michael Oechsle, Alessio Tonioni, Marco Hutter, Vaishakh Patil

CoRR, January, 2026

2025

AnyUp: Universal Feature Upsampling.

Thomas Wimmer, Prune Truong, Marie-Julie Rakotosaona, Michael Oechsle, Federico Tombari, Bernt Schiele, Jan Eric Lenssen

CoRR, October, 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

CoRR, October, 2025

3D-LATTE: Latent Space 3D Editing from Textual Instructions.

Maria Parelli, Michael Oechsle, Michael Niemeyer, Federico Tombari, Andreas Geiger

CoRR, September, 2025

CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation.

Nikolai Kalischek, Michael Oechsle, Fabian Manhardt, Philipp Henzler, Konrad Schindler, Federico Tombari

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Gaussians-to-Life: Text-Driven Animation of 3D Gaussian Splatting Scenes.

Thomas Wimmer, Michael Oechsle, Michael Niemeyer, Federico Tombari

Proceedings of the International Conference on 3D Vision, 2025

RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real- Time Rendering with 900+ FPS.

Michael Niemeyer, Fabian Manhardt, Marie-Julie Rakotosaona, Michael Oechsle, Daniel Duckworth, Rama Gosula, Keisuke Tateno, John Bates, Dominik Kaeser, Federico Tombari

Proceedings of the International Conference on 3D Vision, 2025

2024

Evolutive Rendering Models.

Fangneng Zhan, Hanxue Liang, Yifan Wang, Michael Niemeyer, Michael Oechsle, Adam Kortylewski, Cengiz Öztireli, Gordon Wetzstein, Christian Theobalt

CoRR, 2024

Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians.

Erik Sandström, Keisuke Tateno, Michael Oechsle, Michael Niemeyer, Luc Van Gool, Martin R. Oswald, Federico Tombari

CoRR, 2024

Differentiable Optimization for Orchestration: Resource Offloading for Vehicles in Smart Cities.

Thilo Strauss, Michael Oechsle, Uwe Bauknecht

IEEE Access, 2024

2021

UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction.

Michael Oechsle, Songyou Peng, Andreas Geiger

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Learning Implicit Surface Light Fields.

Michael Oechsle, Michael Niemeyer, Lars M. Mescheder, Thilo Strauss, Andreas Geiger

CoRR, 2020

Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision.

Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Implicit Surface Light Fields.

Michael Oechsle, Michael Niemeyer, Christian Reiser, Lars M. Mescheder, Thilo Strauss, Andreas Geiger

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Texture Fields: Learning Texture Representations in Function Space.

Michael Oechsle, Lars M. Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics.

Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Occupancy Networks: Learning 3D Reconstruction in Function Space.

Lars M. Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, Andreas Geiger

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019