Paul Guerrero

Dipl.-Ing.
Former Member
paul [at] cg.tuwien.ac.at
+43-1-58801-18642

Function

  • University Assistant

Research Work

Publications

9 Publications found:
Image Bib Reference Publication Type
2020
Philipp Erler, Paul Guerrero, Stefan Ohrhallinger, Michael Wimmer, Niloy Mitra
Points2Surf: Learning Implicit Surfaces from Point Clouds
In Computer Vision -- ECCV 2020, pages 108-124. October 2020.
[long video] [short video] [Github Repo] [Arxiv Pre-Print] [Official Publication]
Conference Paper
2018
Michael Hecher, Paul Guerrero, Peter Wonka, Michael Wimmer
How Do Users Map Points Between Dissimilar Shapes?
IEEE Transactions on Visualization and Computer Graphics, 24(8):2327-2338, August 2018. [draft]
Journal Paper (without talk)
2015
Paul Guerrero, Stefan Jeschke, Michael Wimmer, Peter Wonka
Learning Shape Placements by Example
ACM Transactions on Graphics, 34(4):108:1-108:13, August 2015. [additional_material] [paper] [video]
Journal Paper with Conference Talk
2014
Paul Guerrero
Edit Propagation using Geometric Analogies
Supervisor: Michael Wimmer
Duration: 2008 - 2014
[Thesis]
PhD-Thesis
Paul Guerrero, Thomas Auzinger, Michael Wimmer, Stefan Jeschke
Partial Shape Matching using Transformation Parameter Similarity
Computer Graphics Forum, 33(8):1-14, November 2014. [additonal_material] [paper]
Journal Paper (without talk)
Paul Guerrero, Stefan Jeschke, Michael Wimmer, Peter Wonka
Edit Propagation using Geometric Relationship Functions
ACM Transactions on Graphics, 33(2):15:1-15:15, March 2014. [paper]
Journal Paper with Conference Talk
2008
Paul Guerrero, Stefan Jeschke, Michael Wimmer
Real-time Indirect Illumination and Soft Shadows in Dynamic Scenes Using Spherical Lights
Computer Graphics Forum, 27(8):2154-2168, October 2008. [paper]
Journal Paper (without talk)
2007
Paul Guerrero
Approximative Real-time Soft Shadows and Diffuse Reflections in Dynamic Scenes
[thesis]
Master Thesis
2006
Paul Guerrero
Rendering of Forest Scenes
[Report]
Student Project
Download list as Bibtex, HTML (Advanced, Expert), JSON (with referenced objects), CSV