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Publications

LRM-Zero - Large Reconstruction Model
digital_salon2_edited.jpg
Perm - Hair Simulation

D. Xie, S. Bi, Z. Shu, K. Zhang, Z. Xu, Y. Zhou, S. Pirk, A. Kaufman, X. Sun, H. Tan, LRM-Zero: Training Large Reconstruction Models with Synthesized Data, Conference on Neural Information Processing Systems (NeurIPS), 2024
[Website], [ArXiv], [Preprint]

C. He, J. A. Amador Herrera, Y. Zhou, Z. Shu, X. Sun, Y. Feng, S. Pirk, D. L. Michels, M. Zhang, T. Y. Wang, H Rushmeier, Digital Salon: An AI and Physics-Driven Tool for 3D Hair Grooming and Simulation, Real Time Live! - SIGGRAPH Asia, 2024

[Website]

C. He, X. Sun, Z. Shu, F. Luan, S. Pirk, J. A. Amador Herrera, D. L. Michels, T. Y. Wang, M. Zhang, H. Rushmeier, Y. Zhou, Perm: A Parametric Representation for Multi-Style 3D Hair Modeling, under submission, 2024
[ArXiv]

Digital Salon - Hair Simulation
Learning Noise with Diffusion Model

J. A. Amador Herrera, Y. Zhou, X. Sun, Z. Su, C. He, S. Pirk, and D. L. Michels, DigitalSalon: A Fast Simulator for Dense Hair via Augmented Mass-Spring Model, Preprint (10754/697970), KAUST Repository, 2024
[KAUST Repository], [Video]

A. Maesumi, D. Hu, K. Saripalli, V. G. Kim, M. Fisher, S. Pirk, D. Ritchie, One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns, ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2024
[Website], [ArXiv], [Preprint], [Bibtex]

Wildfire Simulation with detailed 3d geometric models of plants

A. Kokosza, H. Wrede, D. G. Esparza, M. Makowski, D. Liu, D. L. Michels, S. Pirk, W. Pałubicki, Scintilla: Simulating Combustible Vegetation for Wildfires, ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2024
[Website], [Preprint], [Video], [Bibtex]

Interactive Invigoration - Volumetric Modeling of Trees
Cyclogenesis - Simulation of Huricanes and Tornadoes
Learning Computer Vision Models for Agricultural Tasks with Synthetic Data
Learning of Leaf Markers with Neural Networks for Computer Vision Tasks and Synthetic Data

B. Li, N. Schwarz, W. Pałubicki, S. Pirk, B. Benes, Interactive Invigoration: Volumetric Modeling of Trees with Strands, ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2024
[Website], [Preprint], [Video], [Bibtex]

J. A. Amador Herrera, J. Klein, D. Liu, W. Pałubicki, S. Pirk, Dominik, L. Michels, Cyclogenesis: Simulating Hurricanes and Tornadoes, ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2024
[Website], [Preprint], [Video], [Bibtex]

M. Cieslak, U. Govindarajan, A. Garcia, A. Chandrashekar, T. Hädrich, A. Mendoza-Drosik, D. Michels,
S. Pirk, C.-C. Fu, W. Palubicki, Generating Diverse Agricultural Data for Vision-Based Farming Applications, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop: Vision for Agriculture, 2024
[Preprint], [ArXiv], [Poster], [Bibtex]

J. Kaluzny, Y. Schreckenberg, K. Cyganik, P. Annighöfer, S. Pirk, D. L. Michels, M. Cieslak, F. Assaad, B. Benes, W. Palubicki, LAESI: Leaf Area Estimation with Synthetic Imagery, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop: Synthetic Data for Computer Vision, 2024
[Preprint], [ArXiv], [Bibtex]

Multi-View Reconstruction with RL Finetuning

D. Xie, J. Li, H. Tan, X. Sun, Z. Shu, Y. Zhou, S. Bi, S. Pirk, A. E. Kaufman, Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[Website], [Preprint], [ArXiv], [Bibtex]

Lennard-Jones Layer for Point Distributions

M. Na, J. Klein, B. Zhang, W. Palubicki, S. Pirk, D. L. Michels, A Lennard-Jones Layer for Distribution Normalization, Transactions on Machine Learning Research, 2024
[Preprint], [ArXiv], [Video], [Bibtex]

Plant robot interactions traind with synthetic data

J. Deng, S. Marri, J. Klein, W. Palubicki, S. Pirk, G. Chowdhary, D. L. Michels, Gazebo Plants: Simulating Plant-Robot Interaction with Cosserat Rods, Robotics and Sustainability, IEEE International Conference on Robotics and Automation (ICRA), 2024
[Preprint], [ArXiv], [Video], [Bibtex]

Multi-task generative GANs
Pose generation with neural networks for grasping objects
A synthetic data generation pipeline to improve the training of agriculture tasks

Z. Zhu, Y. Li, W. Lyu, K. Kumar Singh, Z. Shu, S. Pirk, D. Hoiem, Consistent Multimodal Generation via a Unified GAN Framework, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
[Preprint], [ArXiv], [Bibtex]

O. Taheri, Y. Zhou, D. Tzionas, Y. Zhou, D. Ceylan, S. Pirk, M. Black, GRIP: Generating Interaction Poses Using Spatial Cues and Latent Consistency, International Conference on 3D Vision, 2024
[Website], [Preprint], [ArXiv], [Bibtex]

J. Klein, R. E. Waller, S. Pirk, W. Pałubicki, M. Tester, and D. L. Michels, Synthetic Data at Scale: A Paradigm to Efficiently Leverage Machine Learning in Agriculture, Frontiers in Plant Science, 2024
[Website]

A social navigation approach that uses human gestures to control a robot

C. Cuan, E. Lee, E. Fisher, A. Francis, L. Takayama, T. Zhang, A. Toshev, S. Pirk, Gesture2Path: Imitation Learning for Gesture-aware Navigation, International Conference on Social Robotics (ICSR), 2024
[Preprint], [ArXiv], [Bibtex]

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M. J. Finck, K. Krüger, S. Paschen, A.-K. Helmers, G. Schmidt:

Analyzing Impaired Speech in Context of Magnetic Resonance-guided Focused Ultrasound Using Convolutional Neural Networks, DEGA e.V. (Hrsg.), Fortschritte der Akustik – DAGA 2024, 2024

[Macau]

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N. A. Schwarz, S. Storandt, Efficient Computation of Crossing Components and Shortcut Hulls,
Rescigno, A.A., Vaccaro, U. (eds) Combinatorial Algorithms. IWOCA 2024. Lecture Notes in Computer Science, vol 14764. Springer, Cham, 2024

[DOI], [Proceedings]

Simulation of the wilting behavior of plants

F. Maggioli, J. Klein, T. Hädrich, E. Rodolà, W. Palubicki, S. Pirk, D. L. Michels, A Physically-inspired Approach to the Simulation of Plant Wilting, ACM Transactions on Graphics (SIGGRAPH Asia), 2023
[Website], [Preprint], [Video], [Bibtex]

Automatically generated camera paths

D. Xie, P. Hu, X. Sun, J. Zhang, S. Pirk, R. Mech, A. Kaufmann, GAIT: Generating Aesthetic Indoor Tours with Deep Reinforcement Learning, International Conference on Computer Vision (ICCV), 2023
[Website], [Preprint], [Code], [Bibtex]

Shape minning with representation learning

T.-Y. Cheng, M. Gadelha, S. Pirk, T. Groueix, R. Mech, A. Markham, N. Trigoni, 3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets, International Conference on Computer Vision (ICCV), 2023
[Website], [Preprint], [Bibtex]

An illustration of different social navigation approaches

A. Francis, C. Pérez-D' Arpino, C. Li, F. Xia, A. Alahi, R. Alami, A. Bera, A. Biswas, J. Biswas, R. Chandra, H.-T. L. Chiang, M. Everett, S. Ha, J. Hart, J. P. How, H. Karnan, T.-W. E. Lee, L. J. Manso, R. Mirksy, S. Pirk, P. T. Singamaneni, P. Stone, A. V. Taylor, P. Trautman, N. Tsoi, M. Vázquez, X. Xiao, P. Zu, N. Yokoyama, A. Toshev, R. Martín-Martín, Principles and Guidelines for Evaluating Social Robot Navigation Algorithms, 2023
[Preprint], [ArXiv]

Different trees generated with a neural network for branching structures

X. Zhou, B. Li, B. Benes, S. Pirk, DeepTree: Modeling Trees with Situated Latents, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
[Website], [Preprint], [ArXiv], [Video], [Bibtex]

Simulation of the development of tree roots

B. Li, J. Klein, D. L. Michels, B. Benes, S. Pirk, W. Pałubicki, Rhizomorph: The Coordinated Function of Shoots and Roots, ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2023
[Website], [Preprint], [Video], [Bibtex]

An illustration of a social navigation scenario

A. Francis, C. Pérez-D' Arpino, C. Li, F. Xia, A. Alahi, A. Bera, A. Biswas, J. Biswas, H.-T. Lewis Chiang, M. Everett, S. Ha, J. Hart, H. Karnan, T.-W. E Lee, L. J. Manso, R. Mirksy, S. Pirk, P. T. Singamaneni, P. Stone, A. V. Taylor, P. Trautman, N. Tsoi, M. Vázquez, X. Xiao, P. Xu, N. Yokoyama, R. Martín-Martín, A. Toshev, Benchmarking Social Robot Navigation Across Academia and Industry, Best Paper Award Nominee, AAAI Spring Symposium, 2023
[Preprint], [Bibtex], [Symposium Website]

The logo of the journal computer graphics forum

D. L. Michels and S. Pirk (Eds.), ACM SIGGRAPH / Eurographics Symposium of Computer Animation (SCA), Computer Graphics Forum, 2022
[DOI], [Bibtex]

Instance masks learned with cross-modal consistency

A. Z. Zhu, V. Casser, R. Mahjourian, H. Kretzschmar, S. Pirk, Instance Segmentation with Cross-Modal Consistency, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
[Preprint], [ArXiv], [Bibtex]

Simulaiton of ecoclimates, local microclimates in ecosystems

W. Pałubicki, M. Makowski, W. Gajda, T. Hädrich, D. L. Michels, S. Pirk, Ecoclimates: Climate-Response Modeling of Vegetation, ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2022
[Website], [Preprint], [Video], [Bibtex]

Procedurally generated vegetation in an urban scenario

T. Niese, S. Pirk, M. Albrecht, B. Benes, O. Deussen, Procedural Urban Forestry, ACM Transactions on Graphics (TOG) and SIGGRAPH, 2022
[Website], [Preprint], [Video], [Bibtex]

Social navigation - blind corner

S. Pirk, E. Lee, X. Xiao, L. Takayama, A. Francis, A. Toshev, A Protocol for Validating Social Navigation Policies, IEEE International Conference on Robotics and Automation, Workshop: Social Robot Navigation: Advances and Evaluation, 2022
[Preprint], [Poster], [ArXiv], [Bibtex]

Social navigation dataset

H. Karnan, A. Nair, X. Xiao, G. Warnell, S. Pirk, A. Toshev, J. Hart, J. Biswas, P. Stone, Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation, IEEE Robotics and Automation Letters (RA-L) and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
[Website], [Preprint], [Video], [Dataset], [Bibtex]

Illustration of a multi-scale grid approach for fluid dynamics

W. Raateland, T. Hädrich, J. A. Herrera, D. Banuti, W. Pałubicki, S. Pirk, K. Hildebrandt, D. L. Michels, DCGrid: An Adaptive Grid Structure for Memory-Constrained Fluid Simulation on the GPU, ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2022
[Website], [Preprint], [DOI], [Supplementary Material], [Code], [Video], [Bibtex]

Pose Detection with self-supervised latents

R. Jean, S. Brodeur, S. Pirk, P.-L. St-Charles, Self-Supervised Learning of Pose-Informed Latents, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop: Learning with Limited Labeled Data for Image and Video Understanding, 2022
[Preprint], [Poster], [Supplementary Material], [Bibtex]

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K. Naderi Beni, R. Wolke, M. J. Finck, E. Elfrath, N. G. Margraf, R. Rieger, Acquisition and Automated Segmentation of Inertia Sensor Data for Mobile Camptocormia Assessment, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Glasgow, Scotland, United Kingdom, pp. 105-108, 2022

[IEEE]

Learned rod dynamics with graph neural networks
Weather simulation with a mathematical model

H. Shao, T. Kugelstadt, T. Hädrich, W. Pałubicki, J. Bender, S. Pirk, D. L. Michels, Accurately Solving Rod Dynamics with Graph Learning, Conference on Neural Information Processing Systems (NeurIPS), 2021
[Website], [Preprint], [ArXiv], [Supplementary Material], [Video], [Bibtex]

J. A. Amador Herrera, T. Hädrich, W. Pałubicki, D. T. Banuti, S. Pirk, D. L. Michels, Weatherscapes: Nowcasting Heat Transfer and Water Continuity, ACM Transactions on Graphics (SIGGRAPH Asia), 2021
[Website], [Preprint], [Video], [Technical Papers Trailer], [Bibtex]

Reconstructing trees from single images with a 3D bounding volume representation
Wildfire simulation with detailed 3D plant models

B. Li, J. Kałużny, J. Klein, D.L. Michels, W. Pałubicki, B. Benes, S. Pirk, Learning to Reconstruct Botanical Trees from Single Images, ACM Transactions on Graphics (SIGGRAPH Asia), 2021
[Website], [Preprint], [Video], [Technical Papers Trailer], [Bibtex]

T. Hädrich, D. T. Banuti, W. Pałubicki, S. Pirk, D. L. Michels, Fire in Paradise: Mesoscale Simulation of Wildfires, ACM Transactions on Graphics (SIGGRAPH), 2021
[Website], [Preprint], [Video], [Talk], [Two Minute Papers], [Gallery of Fluid Motion], [Bibtex]

An illustration of a multi-task learning appraoch

Y. Lu, S. Pirk, J. Dlabal, A. Brohan, A. Pasad, Z. Chen, V. Casser, A. Angelova, A. Gordon, Taskology: Utilizing Task Relations at Scale, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Oral, 2021
[Preprint], [ArXiv], [Supplementary Material], [Poster], [Talk], [Bibtex]

Semantic segmentation enhanced with edge maps

J. Klein, S. Pirk, D. L. Michels, Domain Adaptation with Morphologic Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop: Autonomous Driving: Perception, Prediction and Planning, 2021
[Website], [Preprint], [ArXiv], [Video], [Bibtex]

Simulation of cloud dynamics with a mathematical model
Learning long-horizon tasks with a robot
Breaking of branches with rods
Simulation of erosion with a volumetric computer graphics approach
A collection of objects that can be disentangled with contrastive representation learning
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T. Hädrich, M. Makowski, W. Pałubicki, D. T. Banuti, S. Pirk, D. L. Michels, Stormscapes: Simulating Cloud Dynamics in the Now, ACM Transactions on Graphics (SIGGRAPH Asia), 2020
[Website], [Preprint], [Video], [Talk], [Technical Papers Trailer], [Bibtex]

S. Pirk, K. Hausman, A. Toshev, M. Khansari, Modeling Long-horizon Tasks as Sequential Interaction Landscapes, Conference on Robotic Learning (CoRL), 2020
[Website], [Preprint], [ArXiv], [Video], [Talk], [Bibtex]

T. Hädrich, J. Scheffczyk, W. Pałubicki, S. Pirk, D. L. Michels, Interactive Wood Fracture, Eurographics / ACM SIGGRAPH Symposium on Computer Animation - Posters, 2020
[Website], [Preprint], [Video], [Bibtex]

V. Krs, T. Hädrich, D. L. Michels, O.Deussen, S.Pirk, B. Benes, Wind Erosion: Shape Modifications by Interactive Particle-based Erosion and Deposition, Eurographics / ACM SIGGRAPH Symposium on Computer Animation - Posters, 2020
[Website], [Preprint], [Video], [Bibtex]

S. Pirk, M. Khansari, Y. Bai, C. Lynch, P. Sermanet, Online Learning of Object Representations by Appearance Space Feature Alignment, IEEE International Conference on Robotics and Automation, 2020
[Preprint], [Video], [Talk], [Bibtex]

J. Wrede, H. Wrede, W. Behringer, Emergency Department Mean Physician Time per Patient and Workload Predictors ED-MPTPP, Journal of Clinical Medicine 9.11, 2020

[PubMed]

A collection of objects that can be disentangled with contrastive representation learning
Robot-object interactions based on point clouds
Simulaiton of large scale ecosystems
Modeling human-object interactions with sequential neural networks
Depth prediction with neural networks
Depth prediction with neural networks

S. Pirk, M. Khansari, Y. Bai, C. Lynch, P. Sermanet, Online Object Representations with Contrastive Learning, CVPR Workshop: Learning from Unlabeled Videos, 2019
[Website], [Poster], [ArXiv], [Bibtex]

X. Yan, M. Khansari, J. Hsu, Y. Gong, Y. Bai, S. Pirk, H. Lee, Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks, 2019
[ArXiv], [Website], [Bibtex]

M. Makowski, T. Hädrich, J. Scheffczyk, D. L. Michels, S. Pirk, W. Pałubicki, Synthetic Silviculture: Multi-scale Modeling of Plant Ecosystems, ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2019
[Website], [Preprint], [Video], [Technical Papers Trailer], [Two Minute Papers], [Bibtex]

H. Wang, S. Pirk, E. Yumer, V. G. Kim, O. Senner, S. Sridhar, L. J. Guibas, Learning a Generative Model for Multi-Step Human-Object Interactions from Videos, Computer Graphics Forum (Proceedings of Eurographics), 2019, Best Paper Honorable Mention
[Website], [Preprint], [Video], [Code + Data], [Stanford AI Blog], [Bibtex]

V. Casser, S. Pirk, R. Mahjourian, A. Angelova, Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics, CVPR Workshop on Visual Odometry & Computer Vision Applications Based on Location Clues (VOCVALC), 2019
[Website], [ArXiv], [Code], [Bibtex]

V. Casser, S. Pirk, R. Mahjourian, A. Angelova, Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI'19), 2019
[Website], [ArXiv], [Code], [Bibtex]

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Md. A. Rahmen, S. M. Mahfuz, S. M. A. Al-Mamun, Writer-independent Offline Handwritten Signature Verification using Novel Feature Extraction Techniques, International Journal of Computer Applications (0975 – 8887) Volume 177 – No. 14, 2019

[Preprint]

Generating 3D scenes with natural language
Future semantic segmentation with 3D structure
Shape templates for the semantic structure of man made objects
Shape generation based on gestalt laws

R. Ma, A. Gadi Patil, M. Fisher, M. Li, S. Pirk, B.-S. Hua, S.-K. Yeung, X. Tong, L. Guibas, H. Zhang, Language-Driven Synthesis of 3D Scenes from Scene Databases, ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2018
[Website], [Preprint], [Video], [Bibtex]

S. Vora, R. Mahjourian, S. Pirk, A. Angelova, Future Semantic Segmentation Using 3D Structure, ECCV 3D Reconstruction meets Semantics Workshop, 2018
[ArXiv], [Bibtex]

V. Ganapathi-Subramanian, O. Diamanti, S. Pirk, C. Tang, M. Niessner, L. J. Guibas, Parsing Geometry Using Structure-Aware Shape Templates, International Conference on 3D Vision, 2018
[Preprint], [ArXiv], [Video], [Bibtex]

J. Kratt, T. Niese, R. Hu, H. Huang, S. Pirk, A. Sharf, D. Cohen-Or, O. Deussen, Sketching In Gestalt Space: Interactive Shape Abstraction Through Perceptual Reasoning, Computer Graphics Forum, 2018
[Website], [Preprint], [Video], [Bibtex]

Simulation of the combustion of trees

S. Pirk, M. Jarząbek, T. Hädrich, D. L. Michels, W. Palubicki, Interactive Wood Combustion for Botanical Tree Models, ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2017
[Website], [Preprint], [Video], [Technical Papers Trailer], [Two Minute Papers], [Bibtex]

Interaction descriptor for 3D shapes
Interaction descriptor for 3D shapes
Interaction descriptor for 3D shapes
Simulation of climbing plants

S. Pirk, O. Diamanti, B. Thibert, D. Xu, L. J. Guibas, Shape-aware Spatio-temporal Descriptors for Interaction Classification, IEEE International Conference on Image Processing (ICIP), 2017
[Preprint], [Video], [Bibtex]

Y. Yoshiyasu, E. Yoshida, S. Pirk, L. J. Guibas, 3D Convolutional Neural Networks by Modal Fusion, IEEE International Conference on Image Processing (ICIP), 2017
[Preprint], [Bibtex]

S. Pirk, V. Krs, K. Hu, S. D. Rajasekaran, H. Kang, B. Benes, Y. Yoshiyasu, L. J. Guibas, Understanding and Exploiting Object Interaction Landscapes, ACM Transactions on Graphics (TOG), 2017
[Website], [Preprint], [DOI], [ArXiv], [Video], [Bibtex]

T. Hädrich, B. Benes, O. Deussen, S. Pirk, Interactive Modeling and Authoring of Climbing Plants, Computer Graphics Forum (Proceedings of Eurographics), 2017, Best Paper Honorable Mention
[Website], [Preprint], [Video], [Two Minute Papers], [Bibtex]

A neural network for 3d data
An illustration of branch topologies

Y. Li, S. Pirk, H. Su, C. R. Qi, L. J. Guibas, FPNN: Field Probing Neural Networks for 3D Data, Conference on Neural Information Processing Systems (NIPS), 2016
[Website], [Preprint], [ArXiv], [Code], [Bibtex]

S. Pirk, B. Benes, T. Ijiri, Y. Li, O. Deussen, B. Chen, R. Mech, Modeling Plant Life in Computer Graphics, SIGGRAPH 2016 Courses
[Website], [DOI], [Bibtex]

An illustration of a 3D branch modeling method

J. Kratt, M. Spicker, A. Guayaquil, M. Fiser, S. Pirk, O. Deussen, J. C. Hart, B. Benes, Woodification: User-Controlled Cambial Growth Modeling, Computer Graphics Forum (Proceedings of Eurographics), 2015
[Website], [Preprint], [DOI], [Video], [Bibtex]

Simulation of tree wind interactions
3D object stylization

S. Pirk, T. Niese, T. Hädrich, B. Benes, O. Deussen, Windy Trees: Computing Stress Response for Developmental Tree Models, ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 2014
[Website], [Preprint], [DOI], [Video], [Bibtex]

J. Kratt, F. Eisenkeil, S. Pirk, A. Sharf, O. Deussen, Non-Realistic 3D Object Stylization, International Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging, 2014
[Website], [Preprint], [DOI], [Video], [Bibtex]

Inverse procedural modeling of trees

O. Stava, S. Pirk, J. Kratt, B. Chen, R. Mech, O. Deussen, B. Benes, Inverse Procedural Modeling of Trees, Computer Graphics Forum, 2014 and Eurographics, 2015
[Website], [Preprint], [DOI], [Video], [Bibtex]

The result of a painting generated with a robot

T. Lindemeier, S. Pirk, O. Deussen, Image Stylization with a Painting Machine Using Semantic Hints, Computers and Graphics, 2013
[Preprint], [DOI], [Bibtex]

Giga pixel videos

S. Pirk, M. F. Cohen, O. Deussen, M. Uyttendaele, J. Kopf, Video Enhanced Gigapixel Panoramas, Siggraph Asia 2012, Technical Brief
[Website], [Preprint], [DOI], [Video], [Bibtex]

Modeling and simulating tree growth

S. Pirk, T. Niese, O. Deussen, B. Neubert, Capturing and Animating the Morphogenesis of Polygonal Tree Models, ACM Transactions on Graphics (Proceedings of Siggraph Asia), 2012
[Website], [Preprint], [DOI], [Video], [Bibtex]

A painting generated with a robot

O. Deussen, T. Lindemeier, S. Pirk, M. Tautzenberger, Feedback-guided Stroke Placement for a Painting Machine, Computational Aesthetics in Graphics, 2012
[Website], [Preprint], [DOI], [Video], [Bibtex]

Modeling and simulating tree development

S. Pirk, O. Stava, J. Kratt, M. Abdul-Massih, B. Neubert, R. Mech, B. Benes, O. Deussen, Plastic Trees: Interactive Self-Adapting Botanical Tree Models, ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2012
[Website], [Preprint], [DOI], [Video], [Bibtex]

Reconstruction of trees from point clouds

Y. Livny, S. Pirk, F. Yan, Z. Cheng, O. Deussen, D. Cohen-Or, B. Chen, Texture-Lobes for Tree Modeling, ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2011
[Website], [Preprint], [DOI], [Video], [Bibtex]

A level of detail approach for vegetation

B. Neubert, S. Pirk, O. Deussen, C. Dachsbacher, Improved Model- and View-Dependent Pruning of Large Botanical Scenes, Computer Graphics Forum, 2011 and EGSR 2011
[Website], [Preprint], [DOI], [Bibtex]

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