Soren Pirk
Soren Pirk
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Cited by
Cited by
Fpnn: Field probing neural networks for 3d data
Y Li, S Pirk, H Su, CR Qi, LJ Guibas
NIPS'16: Proceedings of the 30th International Conference on Neural …, 2016
Depth prediction without the sensors: Leveraging structure for unsupervised learning from monocular videos
V Casser, S Pirk, R Mahjourian, A Angelova
Proceedings of the AAAI conference on artificial intelligence 33 (01), 8001-8008, 2019
Inverse procedural modelling of trees
O Stava, S Pirk, J Kratt, B Chen, R Měch, O Deussen, B Benes
Computer Graphics Forum 33 (6), 118-131, 2014
Texture-lobes for tree modelling
Y Livny, S Pirk, Z Cheng, F Yan, O Deussen, D Cohen-Or, B Chen
ACM Transactions on Graphics (TOG) 30 (4), 1-10, 2011
Plastic trees: interactive self-adapting botanical tree models
S Pirk, O Stava, J Kratt, MAM Said, B Neubert, R Měch, B Benes, ...
ACM Transactions on Graphics (TOG) 31 (4), 1-10, 2012
Feedback-guided stroke placement for a painting machine
O Deussen, T Lindemeier, S Pirk, M Tautzenberger
Proceedings of the Eighth Annual Symposium on Computational Aesthetics in …, 2012
Windy trees: computing stress response for developmental tree models
S Pirk, T Niese, T Hädrich, B Benes, O Deussen
ACM Transactions on Graphics (TOG) 33 (6), 1-11, 2014
Image stylization with a painting machine using semantic hints
T Lindemeier, S Pirk, O Deussen
Computers & Graphics 37 (5), 293-301, 2013
Language-driven synthesis of 3D scenes from scene databases
R Ma, AG Patil, M Fisher, M Li, S Pirk, BS Hua, SK Yeung, X Tong, ...
ACM Transactions on Graphics (TOG) 37 (6), 1-16, 2018
Unsupervised monocular depth and ego-motion learning with structure and semantics
V Casser, S Pirk, R Mahjourian, A Angelova
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Capturing and animating the morphogenesis of polygonal tree models
S Pirk, T Niese, O Deussen, B Neubert
ACM Transactions on Graphics (TOG) 31 (6), 1-10, 2012
Understanding and exploiting object interaction landscapes
S Pirk, V Krs, K Hu, SD Rajasekaran, H Kang, Y Yoshiyasu, B Benes, ...
ACM Transactions on Graphics (TOG) 36 (3), 1-14, 2017
Synthetic silviculture: multi-scale modeling of plant ecosystems
M Makowski, T Hädrich, J Scheffczyk, DL Michels, S Pirk, W Pałubicki
ACM Transactions on Graphics (TOG) 38 (4), 1-14, 2019
Parsing geometry using structure-aware shape templates
V Ganapathi-Subramanian, O Diamanti, S Pirk, C Tang, M Niessner, ...
2018 International Conference on 3D Vision (3DV), 672-681, 2018
Video enhanced gigapixel panoramas
S Pirk, MF Cohen, O Deussen, M Uyttendaele, J Kopf
SIGGRAPH Asia 2012 Technical Briefs, 1-4, 2012
Unsupervised learning of depth and ego-motion: A structured approach
V Casser, S Pirk, R Mahjourian, A Angelova
Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) 2, 7, 2019
Improved model‐and view‐dependent pruning of large botanical scenes
B Neubert, S Pirk, O Deussen, C Dachsbacher
Computer Graphics Forum 30 (6), 1708-1718, 2011
Online object representations with contrastive learning
S Pirk, M Khansari, Y Bai, C Lynch, P Sermanet
arXiv preprint arXiv:1906.04312, 2019
Interactive modeling and authoring of climbing plants
T Hädrich, B Benes, O Deussen, S Pirk
Computer Graphics Forum 36 (2), 49-61, 2017
Data-efficient learning for sim-to-real robotic grasping using deep point cloud prediction networks
X Yan, M Khansari, J Hsu, Y Gong, Y Bai, S Pirk, H Lee
arXiv preprint arXiv:1906.08989, 2019
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Articles 1–20