Stephan R. Richter

According to our database, Stephan R. Richter authored at least 16 papers between 2015 and 2024.

Collaborative distances:

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

2024

DeepMesh: Differentiable Iso-Surface Extraction.

Benoît Guillard, Edoardo Remelli, Artem Lukoianov, Pierre Yvernay, Stephan R. Richter, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua

IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

Aleksei Bochkovskii, Amaël Delaunoy, Hugo Germain, Marcel Santos, Yichao Zhou, Stephan R. Richter, Vladlen Koltun

CoRR, 2024

Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting.

Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepúlveda, Yixing Lao, Kai Zhang, Tianhang Cheng, Stephan R. Richter, Shenlong Wang, Germán Ros

Proceedings of the International Conference on 3D Vision, 2024

2023

Enhancing Photorealism Enhancement.

Stephan R. Richter, Hassan Abu Alhaija, Vladlen Koltun

IEEE Trans. Pattern Anal. Mach. Intell., 2023

2022

Unsupervised Contrastive Domain Adaptation for Semantic Segmentation.

Feihu Zhang, Vladlen Koltun, Philip H. S. Torr, René Ranftl, Stephan R. Richter

CoRR, 2022

Dancing under the stars: video denoising in starlight.

Kristina Monakhova, Stephan R. Richter, Laura Waller, Vladlen Koltun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DeepMesh: Differentiable Iso-Surface Extraction.

Benoît Guillard, Edoardo Remelli, Artem Lukoianov, Stephan R. Richter, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua

CoRR, 2021

Looking Beyond Single Images for Contrastive Semantic Segmentation Learning.

Feihu Zhang, Philip H. S. Torr, René Ranftl, Stephan R. Richter

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Visual Perception with Synthetic Data.

Stephan R. Richter

PhD thesis, 2020

MeshSDF: Differentiable Iso-Surface Extraction.

Edoardo Remelli, Artem Lukoianov, Stephan R. Richter, Benoît Guillard, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

What Do Single-View 3D Reconstruction Networks Learn?

Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox

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

2018

Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers.

Stephan R. Richter, Stefan Roth

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Playing for Benchmarks.

Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Playing for Data: Ground Truth from Computer Games.

Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

A discriminative approach to perspective shape from shading in uncalibrated illumination.

Stephan R. Richter, Stefan Roth

Comput. Graph., 2015

Discriminative shape from shading in uncalibrated illumination.

Stephan R. Richter, Stefan Roth

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015