Siddhartha Chaudhuri

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Learning to Infer Generative Template Programs for Visual Concepts.

[BibT_eX]

[DOI]

R. Kenny Jones

Daniel Ritchie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Temporal Residual Jacobians for Rig-Free Motion Transfer.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Explorable Mesh Deformation Subspaces from Unstructured Generative Models.

[BibT_eX]

[DOI]

CoRR, 2023

Fast Complementary Dynamics via Skinning Eigenmodes.

[BibT_eX]

[DOI]

CoRR, 2023

Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

ERGOBOSS: onomic ptimization of dy-upporting urfaces.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2022

Neural jacobian fields: learning intrinsic mappings of arbitrary meshes.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2022

The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

GLASS: Geometric Latent Augmentation for Shape Spaces.

[BibT_eX]

[DOI]

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

2021

ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives.

[BibT_eX]

[DOI]

Sumit Chaturvedi

Michal Lukác

CoRR, 2021

Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases.

[BibT_eX]

[DOI]

CoRR, 2021

Maximizing Conditional Entropy for Batch-Mode Active Learning of Perceptual Metrics.

[BibT_eX]

[DOI]

CoRR, 2021

A Unified Batch Selection Policy for Active Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

BuildingNet: Learning to Label 3D Buildings.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Joint Learning of 3D Shape Retrieval and Deformation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DECOR-GAN: 3D Shape Detailization by Conditional Refinement.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Neural subdivision.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2020

Learning Generative Models of 3D Structures.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2020

Batch Decorrelation for Active Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds.

[BibT_eX]

[DOI]

Gopal Sharma

Difan Liu

Subhransu Maji

Radomír Mech

Proceedings of the Computer Vision - ECCV 2020, 2020

Affinity Graph Supervision for Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Neural Cages for Detail-Preserving 3D Deformations.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

COALESCE: Component Assembly by Learning to Synthesize Connections.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on 3D Vision, 2020

Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

GRAINS: Generative Recursive Autoencoders for INdoor Scenes.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2019

FAN: Focused Attention Networks.

[BibT_eX]

[DOI]

CoRR, 2019

CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss.

[BibT_eX]

[DOI]

CoRR, 2019

BAE-NET: Branched Autoencoder for Shape Co-Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets.

[BibT_eX]

[DOI]

Priyadarshini Kumari

Subhasis Chaudhuri

Proceedings of the 2019 IEEE World Haptics Conference, 2019

Learning Generative Models of 3D Structures.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

Shape Unicode: A Unified Shape Representation.

[BibT_eX]

[DOI]

Vladimir G. Kim

Matthew Fisher

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

2018

SCORES: shape composition with recursive substructure priors.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2018

Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks.

[BibT_eX]

[DOI]

Haibin Huang

ACM Trans. Graph., 2018

Generalizing Across Domains via Cross-Gradient Training.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Tags2Parts: Discovering Semantic Regions From Shape Tags.

[BibT_eX]

[DOI]

Vladimir G. Kim

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

Learning Material-Aware Local Descriptors for 3D Shapes.

[BibT_eX]

[DOI]

Hubert Lin

Melinos Averkiou

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Complementme: weakly-supervised component suggestions for 3D modeling.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2017

GRASS: generative recursive autoencoders for shape structures.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2017

A Deep Recurrent Framework for Cleaning Motion Capture Data.

[BibT_eX]

[DOI]

CoRR, 2017

Learning local shape descriptors with view-based convolutional networks.

[BibT_eX]

[DOI]

Haibin Huang

CoRR, 2017

3D Shape Segmentation with Projective Convolutional Networks.

[BibT_eX]

[DOI]

Melinos Averkiou

Subhransu Maji

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

CustomCut: On-demand Extraction of Customized 3D Parts with 2D Sketches.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2016

2015

Semantic shape editing using deformation handles.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2015

2014

Shape2Pose: human-centric shape analysis.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2014

2013

Learning part-based templates from large collections of 3D shapes.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2013

Attribit: content creation with semantic attributes.

[BibT_eX]

[DOI]

Stephen Giguere

Thomas A. Funkhouser

Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology, 2013

2012

A probabilistic model for component-based shape synthesis.

[BibT_eX]

[DOI]

Daphne Koller

ACM Trans. Graph., 2012

2011

3D modeling with data-driven suggestions.

[BibT_eX]

[DOI]

PhD thesis, 2011

Probabilistic reasoning for assembly-based 3D modeling.

[BibT_eX]

[DOI]

Leonidas J. Guibas

ACM Trans. Graph., 2011

2010

Data-driven suggestions for creativity support in 3D modeling.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2010

2009

Smoothed analysis of probabilistic roadmaps.

[BibT_eX]

[DOI]

Comput. Geom., 2009

2005

Towards optimal sensor placement with hypercube cutting planes.

[BibT_eX]

[DOI]

Ratan K. Ghosh

Sajal K. Das

Proceedings of the IEEE Wireless Communications and Networking Conference, 2005

Feature-based techniques for real-time morphable model facial image analysis.

[BibT_eX]

[DOI]