Siddhartha Chaudhuri

98 papers A* 19B 1Journal 62Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Monte Carlo Rendering to Diffusion Curves with Differential BEM.
CoRR
Ryusuke Sugimoto, Christopher Batty, Siddhartha Chaudhuri, Iliyan Georgiev, Toshiya Hachisuka, Kevin Wampler, Michal Lukác
2025 A* conf
ART-DECO: Arbitrary Text Guidance for 3D Detailizer Construction.
SIGGRAPH Asia
Qimin Chen, Yuezhi Yang, Yifan Wang, Vladimir G. Kim, Siddhartha Chaudhuri, Hao Zhang, Zhiqin Chen
2025 J jnl
ART-DECO: Arbitrary Text Guidance for 3D Detailizer Construction.
CoRR
Qimin Chen, Yuezhi Yang, Yifang Wang, Vladimir G. Kim, Siddhartha Chaudhuri, Hao (Richard) Zhang, Zhiqin Chen
2025 A* conf
GenVDM: Generating Vector Displacement Maps From a Single Image.
CVPR
Yuezhi Yang, Qimin Chen, Vladimir G. Kim, Siddhartha Chaudhuri, Qixing Huang, Zhiqin Chen
2025 J jnl
GenVDM: Generating Vector Displacement Maps From a Single Image.
CoRR
Yuezhi Yang, Qimin Chen, Vladimir G. Kim, Siddhartha Chaudhuri, Qixing Huang, Zhiqin Chen
2025 J jnl
Illustrator's Depth: Monocular Layer Index Prediction for Image Decomposition.
CoRR
Nissim Maruani, Peiying Zhang, Siddhartha Chaudhuri, Matthew Fisher, Nanxuan Zhao, Vladimir G. Kim, Pierre Alliez, Mathieu Desbrun, Wang Yifan
2025 J jnl
Residual Primitive Fitting of 3D Shapes with SuperFrusta.
CoRR
Aditya Ganeshan, Matheus Gadelha, Thibault Groueix, Zhiqin Chen, Siddhartha Chaudhuri, Vladimir G. Kim, Wang Yifan, Daniel Ritchie
2025 J jnl
Temporally-Consistent Surface Reconstruction Using Metrically-Consistent Atlases.
IEEE Trans. Pattern Anal. Mach. Intell.
Jan Bednarík, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua
2025 J jnl
Variational Green and Biharmonic Coordinates for 2D Polynomial Cages.
ACM Trans. Graph.
Élie Michel, Alec Jacobson, Siddhartha Chaudhuri, Jean-Marc Thiery
2024 — conf
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement.
ECCV (39)
Qimin Chen, Zhiqin Chen, Vladimir G. Kim, Noam Aigerman, Hao (Richard) Zhang, Siddhartha Chaudhuri
2024 J jnl
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement.
CoRR
Qimin Chen, Zhiqin Chen, Vladimir G. Kim, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri
2024 — conf
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis.
SIGGRAPH (Conference Paper Track)
Dmitry Petrov, Pradyumn Goyal, Vikas Thamizharasan, Vladimir G. Kim, Matheus Gadelha, Melinos Averkiou, Siddhartha Chaudhuri, Evangelos Kalogerakis
2024 J jnl
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis.
CoRR
Dmitry Petrov, Pradyumn Goyal, Vikas Thamizharasan, Vladimir G. Kim, Matheus Gadelha, Melinos Averkiou, Siddhartha Chaudhuri, Evangelos Kalogerakis
2024 A* conf
Learning to Infer Generative Template Programs for Visual Concepts.
ICML
R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie
2024 J jnl
Learning to Infer Generative Template Programs for Visual Concepts.
CoRR
R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie
2024 J jnl
Temporal Residual Jacobians For Rig-free Motion Transfer.
CoRR
Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra
2024 — conf
Temporal Residual Jacobians for Rig-Free Motion Transfer.
ECCV (58)
Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra
2023 A* conf
Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models.
SIGGRAPH Asia
Arman Maesumi, Paul Guerrero, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie
2023 J jnl
Explorable Mesh Deformation Subspaces from Unstructured Generative Models.
CoRR
Arman Maesumi, Paul Guerrero, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Noam Aigerman, Daniel Ritchie
2023 J jnl
Fast Complementary Dynamics via Skinning Eigenmodes.
CoRR
Otman Benchekroun, Jiayi Eris Zhang, Siddhartha Chaudhuri, Eitan Grinspun, Yi Zhou, Alec Jacobson
2023 A* conf
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly.
CVPR
Xianghao Xu, Paul Guerrero, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie
2023 J jnl
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly.
CoRR
Xianghao Xu, Paul Guerrero, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie
2022 J jnl
ERGOBOSS: onomic ptimization of dy-upporting urfaces.
IEEE Trans. Vis. Comput. Graph.
Danyong Zhao, Yijing Li, Siddhartha Chaudhuri, Timothy R. Langlois, Jernej Barbic
2022 A* conf
GLASS: Geometric Latent Augmentation for Shape Spaces.
CVPR
Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra
2022 J jnl
Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes.
CoRR
Noam Aigerman, Kunal Gupta, Vladimir G. Kim, Siddhartha Chaudhuri, Jun Saito, Thibault Groueix
2022 J jnl
Neural jacobian fields: learning intrinsic mappings of arbitrary meshes.
ACM Trans. Graph.
Noam Aigerman, Kunal Gupta, Vladimir G. Kim, Siddhartha Chaudhuri, Jun Saito, Thibault Groueix
2022 — conf
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation.
ECCV (3)
Bo Sun, Vladimir G. Kim, Noam Aigerman, Qixing Huang, Siddhartha Chaudhuri
2022 J jnl
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation.
CoRR
Bo Sun, Vladimir G. Kim, Noam Aigerman, Qixing Huang, Siddhartha Chaudhuri
2022 — conf
The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts.
ECCV (3)
Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie
2021 — conf
A Unified Batch Selection Policy for Active Metric Learning.
ECML/PKDD (2)
Priyadarshini Kumari, Siddhartha Chaudhuri, Vivek S. Borkar, Subhasis Chaudhuri
2021 A* conf
BuildingNet: Learning to Label 3D Buildings.
ICCV
Pratheba Selvaraju, Mohamed Nabail, Marios Loizou, Maria Maslioukova, Melinos Averkiou, Andreas Andreou, Siddhartha Chaudhuri, Evangelos Kalogerakis
2021 J jnl
BuildingNet: Learning to Label 3D Buildings.
CoRR
Pratheba Selvaraju, Mohamed Nabail, Marios Loizou, Maria Maslioukova, Melinos Averkiou, Andreas Andreou, Siddhartha Chaudhuri, Evangelos Kalogerakis
2021 A* conf
DECOR-GAN: 3D Shape Detailization by Conditional Refinement.
CVPR
Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri
2021 J jnl
GLASS: Geometric Latent Augmentation for Shape Spaces.
CoRR
Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra
2021 A* conf
Joint Learning of 3D Shape Retrieval and Deformation.
CVPR
Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas J. Guibas
2021 J jnl
Joint Learning of 3D Shape Retrieval and Deformation.
CoRR
Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas J. Guibas
2021 J jnl
Maximizing Conditional Entropy for Batch-Mode Active Learning of Perceptual Metrics.
CoRR
Priyadarshini Kumari, Siddhartha Chaudhuri, Vivek S. Borkar, Subhasis Chaudhuri
2021 J jnl
ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives.
CoRR
Sumit Chaturvedi, Michal Lukác, Siddhartha Chaudhuri
2021 A* conf
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases.
ICCV
Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman
2021 J jnl
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases.
CoRR
Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman
2021 J jnl
Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases.
CoRR
Jan Bednarík, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua
2021 J jnl
The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts.
CoRR
Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie
2020 A* conf
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss.
CVPR
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang
2020 A* conf
Affinity Graph Supervision for Visual Recognition.
CVPR
Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi
2020 J jnl
Affinity Graph Supervision for Visual Recognition.
CoRR
Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi
2020 A* conf
Batch Decorrelation for Active Metric Learning.
IJCAI
Priyadarshini Kumari, Ritesh Goru, Siddhartha Chaudhuri, Subhasis Chaudhuri
2020 J jnl
Batch Decorrelation for Active Metric Learning.
CoRR
Priyadarshini Kumari, Ritesh Goru, Siddhartha Chaudhuri, Subhasis Chaudhuri
2020 — conf
COALESCE: Component Assembly by Learning to Synthesize Connections.
3DV
Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao (Richard) Zhang
2020 J jnl
COALESCE: Component Assembly by Learning to Synthesize Connections.
CoRR
Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao Zhang
2020 J jnl
DECOR-GAN: 3D Shape Detailization by Conditional Refinement.
CoRR
Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao (Richard) Zhang, Siddhartha Chaudhuri
2020 J jnl
Learning Generative Models of 3D Structures.
Comput. Graph. Forum
Siddhartha Chaudhuri, Daniel Ritchie, Jiajun Wu, Kai Xu, Hao (Richard) Zhang
2020 — conf
Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections.
3DV
Xianghao Xu, David Charatan, Sonia Raychaudhuri, Hanxiao Jiang, Mae Heitmann, Vladimir G. Kim, Siddhartha Chaudhuri, Manolis Savva, Angel X. Chang, Daniel Ritchie
2020 A* conf
Neural Cages for Detail-Preserving 3D Deformations.
CVPR
Yifan Wang, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung
2020 J jnl
Neural Subdivision.
CoRR
Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson
2020 J jnl
Neural subdivision.
ACM Trans. Graph.
Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson
2020 — conf
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds.
ECCV (7)
Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Mech
2020 J jnl
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds.
CoRR
Gopal Sharma, Difan Liu, Evangelos Kalogerakis, Subhransu Maji, Siddhartha Chaudhuri, Radomír Mech
2019 A* conf
BAE-NET: Branched Autoencoder for Shape Co-Segmentation.
ICCV
Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang
2019 J jnl
BAE-NET: Branched Autoencoder for Shape Co-Segmentation.
CoRR
Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang
2019 J jnl
CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss.
CoRR
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang
2019 J jnl
FAN: Focused Attention Networks.
CoRR
Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi
2019 J jnl
GRAINS: Generative Recursive Autoencoders for INdoor Scenes.
ACM Trans. Graph.
Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao (Richard) Zhang
2019 — conf
Learning Generative Models of 3D Structures.
Eurographics (Tutorials)
Siddhartha Chaudhuri, Daniel Ritchie, Kai Xu, Hao (Richard) Zhang
2019 J jnl
Neural Cages for Detail-Preserving 3D Deformations.
CoRR
Yifan Wang, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung
2019 — conf
PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets.
WHC
Priyadarshini Kumari, Siddhartha Chaudhuri, Subhasis Chaudhuri
2019 J jnl
PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets.
CoRR
Priyadarshini Kumari, Siddhartha Chaudhuri, Subhasis Chaudhuri
2019 A* conf
Shape Unicode: A Unified Shape Representation.
CVPR
Sanjeev Muralikrishnan, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri
2018 J jnl
GRAINS: Generative Recursive Autoencoders for INdoor Scenes.
CoRR
Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao (Richard) Zhang
2018 — conf
Generalizing Across Domains via Cross-Gradient Training.
ICLR (Poster)
Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi
2018 J jnl
Generalizing Across Domains via Cross-Gradient Training.
CoRR
Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi
2018 J jnl
Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks.
ACM Trans. Graph.
Haibin Huang, Evangelos Kalogerakis, Siddhartha Chaudhuri, Duygu Ceylan, Vladimir G. Kim, Ersin Yumer
2018 — conf
Learning Material-Aware Local Descriptors for 3D Shapes.
3DV
Hubert Lin, Melinos Averkiou, Evangelos Kalogerakis, Balazs Kovacs, Siddhant Ranade, Vladimir G. Kim, Siddhartha Chaudhuri, Kavita Bala
2018 J jnl
Learning Material-Aware Local Descriptors for 3D Shapes.
CoRR
Hubert Lin, Melinos Averkiou, Evangelos Kalogerakis, Balazs Kovacs, Siddhant Ranade, Vladimir G. Kim, Siddhartha Chaudhuri, Kavita Bala
2018 J jnl
SCORES: Shape Composition with Recursive Substructure Priors.
CoRR
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Renjiao Yi, Hao Zhang
2018 J jnl
SCORES: shape composition with recursive substructure priors.
ACM Trans. Graph.
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Renjiao Yi, Hao Zhang
2018 A* conf
Tags2Parts: Discovering Semantic Regions From Shape Tags.
CVPR
Sanjeev Muralikrishnan, Vladimir G. Kim, Siddhartha Chaudhuri
2017 A* conf
3D Shape Segmentation with Projective Convolutional Networks.
CVPR
Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji, Siddhartha Chaudhuri
2017 J jnl
A Deep Recurrent Framework for Cleaning Motion Capture Data.
CoRR
Utkarsh Mall, G. Roshan Lal, Siddhartha Chaudhuri, Parag Chaudhuri
2017 J jnl
ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling.
CoRR
Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas
2017 J jnl
Complementme: weakly-supervised component suggestions for 3D modeling.
ACM Trans. Graph.
Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas
2017 J jnl
GRASS: Generative Recursive Autoencoders for Shape Structures.
CoRR
Jun Li, Kai Xu, Siddhartha Chaudhuri, Ersin Yumer, Hao Zhang, Leonidas J. Guibas
2017 J jnl
GRASS: generative recursive autoencoders for shape structures.
ACM Trans. Graph.
Jun Li, Kai Xu, Siddhartha Chaudhuri, Ersin Yumer, Hao (Richard) Zhang, Leonidas J. Guibas
2017 J jnl
Learning local shape descriptors with view-based convolutional networks.
CoRR
Haibin Huang, Evangelos Kalogerakis, Siddhartha Chaudhuri, Duygu Ceylan, Vladimir G. Kim, Ersin Yumer
2017 J jnl
Tags2Parts: Discovering Semantic Regions from Shape Tags.
CoRR
Sanjeev Muralikrishnan, Vladimir G. Kim, Siddhartha Chaudhuri
2016 J jnl
3D Shape Segmentation with Projective Convolutional Networks.
CoRR
Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji, Siddhartha Chaudhuri
2016 J jnl
CustomCut: On-demand Extraction of Customized 3D Parts with 2D Sketches.
Comput. Graph. Forum
Xuekun Guo, Juncong Lin, Kai Xu, Siddhartha Chaudhuri, Xiaogang Jin
2015 J jnl
Semantic shape editing using deformation handles.
ACM Trans. Graph.
Mehmet Ersin Yümer, Siddhartha Chaudhuri, Jessica K. Hodgins, Levent Burak Kara
2014 J jnl
Shape2Pose: human-centric shape analysis.
ACM Trans. Graph.
Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas, Thomas A. Funkhouser
2013 A* conf
Attribit: content creation with semantic attributes.
UIST
Siddhartha Chaudhuri, Evangelos Kalogerakis, Stephen Giguere, Thomas A. Funkhouser
2013 J jnl
Learning part-based templates from large collections of 3D shapes.
ACM Trans. Graph.
Vladimir G. Kim, Wilmot Li, Niloy J. Mitra, Siddhartha Chaudhuri, Stephen DiVerdi, Thomas A. Funkhouser
2012 J jnl
A probabilistic model for component-based shape synthesis.
ACM Trans. Graph.
Evangelos Kalogerakis, Siddhartha Chaudhuri, Daphne Koller, Vladlen Koltun
2011 — —
3D modeling with data-driven suggestions.
Siddhartha Chaudhuri
2011 J jnl
Probabilistic reasoning for assembly-based 3D modeling.
ACM Trans. Graph.
Siddhartha Chaudhuri, Evangelos Kalogerakis, Leonidas J. Guibas, Vladlen Koltun
2010 J jnl
Data-driven suggestions for creativity support in 3D modeling.
ACM Trans. Graph.
Siddhartha Chaudhuri, Vladlen Koltun
2009 J jnl
Smoothed analysis of probabilistic roadmaps.
Comput. Geom.
Siddhartha Chaudhuri, Vladlen Koltun
2007 — conf
Smoothed Analysis of Probabilistic Roadmaps.
ANALCO
Siddhartha Chaudhuri, Vladlen Koltun
2005 — conf
Feature-based techniques for real-time morphable model facial image analysis.
Electronic Imaging: Image and Video Communications and Processing
Siddhartha Chaudhuri, Randhir Kumar Singh, Edoardo Charbon
2005 B conf
Towards optimal sensor placement with hypercube cutting planes.
WCNC
Siddhartha Chaudhuri, Ratan K. Ghosh, Sajal K. Das