Michael Goesele

Papers

1

Total Citations

384

H-Index

1

About

Michael Goesele is a leading figure in computer graphics and computer vision, renowned for his pioneering work in 3D reconstruction, image-based modeling, and scene understanding. His research fundamentally advances how digital replicas of real-world environments are created and utilized. Among his most influential contributions is the **Replica Dataset**, a landmark resource featuring 18 highly photo-realistic, high-dynamic-range 3D reconstructions of indoor spaces, complete with dense meshes, semantic labels, and reflective surface data. This dataset, with over 384 citations, has become a cornerstone for training and benchmarking AI systems in embodied AI, robotics, and scene parsing. Goesele’s broader impact is reflected in his work on multi-view stereo and real-time reconstruction, which has enabled robust, scalable methods for digitizing complex environments. His achievements include leading the development of open-source tools and datasets that empower researchers worldwide, making him a key enabler of progress in immersive virtual experiences and autonomous navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
384
Total Citations
384
Avg Citations/Paper
🏆 Most Cited Paper
The Replica Dataset: A Digital Replica of Indoor Spaces
384 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 28

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago