Siddhartha Chaudhuri

Senior Research Scientist


Siddhartha Chaudhuri is a Senior Research Scientist at Adobe Research, and Assistant Professor (on leave) of Computer Science and Engineering at IIT Bombay. His research focuses on richer tools for designing three-dimensional objects, particularly by novice and casual users, and on related problems in 3D shape understanding, synthesis and reconstruction. He received his PhD from Stanford University, followed by a postdoc at Princeton and a year teaching at Cornell. Apart from basic research, he is also the original author of the commercial 3D modeling package Adobe Fuse. For more information, please visit his homepage.


DECOR-GAN: 3D Shape Detailization by Conditional Refinement

Chen, Z., Kim, V., Fisher, M., Aigerman, N., Zhang, H., Chaudhuri, S. (Jun. 19, 2021)

CVPR (oral)

Joint Learning of 3D Shape Retrieval and Deformation

Uy, M., Kim, V., Sung, M., Aigerman, N., Chaudhuri, S., Guibas, L. (Jun. 19, 2021)


COALESCE: Component Assembly by Learning to Synthesize Connections

Yin, K., Chen, Z., Chaudhuri, S., Fisher, M., Kim, V., Zhang, H. (Nov. 25, 2020)

3DV (oral)

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

Xu, X., Charatan, D., Raychaudhuri, S., Jiang, H., Heitmann, M., Kim, V., Chaudhuri, S., Savva, M., Chang, A., Ritchie, D. (Nov. 25, 2020)


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

Sharma, G., Liu, D., Kalogerakis, E., Maji, S., Chaudhuri, S., Měch, R. (Aug. 24, 2020)


Neural Subdivision

Liu, H., Kim, V., Chaudhuri, S., Aigerman, N., Jacobson, A. (Jul. 19, 2020)


Batch Decorrelation for Active Metric Learning

Priyadarshini, K., Goru, R., Chaudhuri, S., Chaudhuri, S. (Jul. 11, 2020)


Neural Cages for Detail-Preserving 3D Deformations

Wang, Y., Aigerman, N., Kim, V., Chaudhuri, S., Sorkine-Hornung, O. (Jun. 16, 2020)

CVPR (oral)

AdaCoSeg: Adaptive Shape Co-Segmentation with Group Consistency Loss

Zhu, C., Xu, K., Chaudhuri, S., Yi, L., Guibas, L., Zhang, H. (Jun. 16, 2020)

CVPR (oral)

Affinity Graph Supervision for Visual Recognition

Wang, C., Samari, B., Kim, V., Chaudhuri, S., Siddiqi, K. (Jun. 16, 2020)


BAE-NET: Branched Autoencoder for Shape Co-Segmentation

Chen, Z., Yin, K., Fisher, M., Chaudhuri, S., Zhang, H. (Oct. 27, 2019)


Shape Unicode: A Unified Shape Representation

Muralikrishnan, S., Kim, V., Fisher, M., Chaudhuri, S. (Jul. 31, 2019)

Computer Vision and Pattern Recognition (CVPR 2019)

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

Priyadarshini, K., Chaudhuri, S., Chaudhuri, S. (Jul. 10, 2019)

World Haptics Conference (WHC)

GRAINS: Generative Recursive Autoencoders for INdoor Scenes

Li, M., Patil, A., Xu, K., Chaudhuri, S., Khan, O., Shamir, A., Tu, C., Chen, B., Cohen-Or, D., Zhang, H. (Jan. 1, 2019)

Transactions on Graphics

SCORES: Shape Composition with Recursive Substructure Priors

Zhu, C., Xu, K., Chaudhuri, S., Yi, R., Zhang, H. (Dec. 1, 2018)


Tags2Parts: Discovering Semantic Regions from Shape Tags

Muralikrishnan, S., Kim, V., Chaudhuri, S. (Jul. 1, 2018)


Learning Material-Aware Local Descriptors for 3D Shapes

Lin, H., Averkiou, M., Kalogerakis, E., Kovacs, B., Ranade, S., Kim, V., Chaudhuri, S., Bala, K. (Jun. 15, 2018)


Generalizing Across Domains via Cross-Gradient Training

Shankar, S., Piratla, V., Chakrabarti, S., Chaudhuri, S., Jyothi, P., Sarawagi, S. (Apr. 30, 2018)


Learning Local Shape Descriptors from Part Correspondences With Multi-view Convolutional Networks

Huang, H., Kalogerakis, E., Chaudhuri, S., Ceylan, D., Kim, V., Yumer, E. (Jan. 1, 2018)

Transactions On Graphics

ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling

Sung, M., Su, H., Kim, V., Chaudhuri, S., Guibas, L. (Nov. 27, 2017)


GRASS: Generative Recursive Autoencoders for Shape Structures

Li, J., Xu, K., Chaudhuri, S., Yumer, E., Zhang, H., Guibas, L. (Aug. 1, 2017)


3D Shape Segmentation with Projective Convolutional Networks

Kalogerakis, E., Averkiou, M., Maji, S., Chaudhuri, S. (Jul. 20, 2017)

CVPR (oral)

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

Guo, X., Lin, J., Xu, K., Chaudhuri, S., Jin, X. (Aug. 1, 2016)


Semantic Shape Editing Using Deformation Handles

Yumer, E., Chaudhuri, S., Hodgins, J., Kara, L. (Jul. 15, 2015)


Creating Consistent Scene Graphs Using a Probabilistic Grammar

Liu, T., Chaudhuri, S., Kim, V., Huang, Q., Mitra, N., Funkhouser, T. (Nov. 1, 2014)


Shape2Pose: Human-Centric Shape Analysis

Kim, V., Chaudhuri, S., Guibas, L., Funkhouser, T. (Aug. 1, 2014)


AttribIt: Content Creation with Semantic Attributes

Chaudhuri, S., Kalogerakis, E., Giguere, S., Funkhouser, T. (Sep. 15, 2013)


Learning Part-based Templates from Large Collections of 3D Shapes

Kim, V., Li, W., Mitra, N., Chaudhuri, S., DiVerdi, S., Funkhouser, T. (Aug. 1, 2013)

ACM Transactions on Graphics (SIGGRAPH)

A Probabilistic Model for Component-Based Shape Synthesis

Kalogerakis, E., Chaudhuri, S., Koller, D., Koltun, V. (Jul. 25, 2012)


Probabilistic Reasoning for Assembly-Based 3D Modeling

Chaudhuri, S., Kalogerakis, E., Guibas, L., Koltun, V. (Jul. 25, 2011)


Data-Driven Suggestions for Creativity Support in 3D Modeling

Chaudhuri, S., Koltun, V. (Dec. 15, 2010)


Smoothed Analysis of Probabilistic Roadmaps

Chaudhuri, S., Koltun, V. (Oct. 1, 2009)

Computational Geometry: Theory and Applications