Vladimir G. Kim

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 117

Top Venues

Publications

Duygu Ceylan, Valentin Deschaintre, Thibault Groueix, Rosalie Martin, Chun-Hao Paul Huang, Romain Rouffet, Vladimir G. Kim, Gaëtan Lassagne
MatAtlas: Text-driven Consistent Geometry Texturing and Material Assignment. CoRR (2024)
Luca Morreale, Noam Aigerman, Vladimir G. Kim, Niloy J. Mitra
Neural Semantic Surface Maps. Comput. Graph. Forum 43 (2) (2024)
Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra
Temporal Residual Jacobians For Rig-free Motion Transfer. CoRR (2024)
Dmitry Petrov, Pradyumn Goyal, Vikas Thamizharasan, Vladimir G. Kim, Matheus Gadelha, Melinos Averkiou, Siddhartha Chaudhuri, Evangelos Kalogerakis
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis. SIGGRAPH (Conference Paper Track) (2024)
Amir Barda, Vladimir G. Kim, Noam Aigerman, Amit H. Bermano, Thibault Groueix
MagicClay: Sculpting Meshes With Generative Neural Fields. CoRR (2024)
Dmitry Petrov, Pradyumn Goyal, Vikas Thamizharasan, Vladimir G. Kim, Matheus Gadelha, Melinos Averkiou, Siddhartha Chaudhuri, Evangelos Kalogerakis
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis. CoRR (2024)
Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson
Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. CoRR (2024)
Arman Maesumi, Dylan Hu, Krishi Saripalli, Vladimir G. Kim, Matthew Fisher, Sören Pirk, Daniel Ritchie
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns. CoRR (2024)
Milin Kodnongbua, Benjamin T. Jones, Maaz Bin Safeer Ahmad, Vladimir G. Kim, Adriana Schulz
Zero-shot CAD Program Re-Parameterization for Interactive Manipulation. CoRR (2023)
Arman Maesumi, Paul Guerrero, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie
Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models. SIGGRAPH Asia (2023)
Yun-Chun Chen, Vladimir G. Kim, Noam Aigerman, Alec Jacobson
Neural Progressive Meshes. SIGGRAPH (Conference Paper Track) (2023)
Benjamin T. Jones, Michael Hu, Milin Kodnongbua, Vladimir G. Kim, Adriana Schulz
Self-Supervised Representation Learning for CAD. CVPR (2023)
Yun-Chun Chen, Vladimir G. Kim, Noam Aigerman, Alec Jacobson
Neural Progressive Meshes. CoRR (2023)
Arman Maesumi, Paul Guerrero, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Noam Aigerman, Daniel Ritchie
Explorable Mesh Deformation Subspaces from Unstructured Generative Models. CoRR (2023)
Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
Learning Proximal Operators to Discover Multiple Optima. ICLR (2023)
William Gao, Noam Aigerman, Thibault Groueix, Vladimir G. Kim, Rana Hanocka
TextDeformer: Geometry Manipulation using Text Guidance. CoRR (2023)
Milin Kodnongbua, Benjamin T. Jones, Maaz Bin Safeer Ahmad, Vladimir G. Kim, Adriana Schulz
ReparamCAD: Zero-shot CAD Re-Parameterization for Interactive Manipulation. SIGGRAPH Asia (2023)
Richard Liu, Noam Aigerman, Vladimir G. Kim, Rana Hanocka
DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization. CVPR (2023)
Seungwoo Yoo, Kunho Kim, Vladimir G. Kim, Minhyuk Sung
As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors. CoRR (2023)
Luca Morreale, Noam Aigerman, Vladimir G. Kim, Niloy J. Mitra
Neural Semantic Surface Maps. CoRR (2023)
Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
Learning Proximal Operators to Discover Multiple Optima. CoRR (2022)
Richard Liu, Noam Aigerman, Vladimir G. Kim, Rana Hanocka
DA Wand: Distortion-Aware Selection using Neural Mesh Parameterization. CoRR (2022)
Luca Morreale, Noam Aigerman, Paul Guerrero, Vladimir G. Kim, Niloy J. Mitra
Neural Convolutional Surfaces. CVPR (2022)
Thomas W. Mitchel, Noam Aigerman, Vladimir G. Kim, Michael Kazhdan
Möbius Convolutions for Spherical CNNs. CoRR (2022)
Thomas W. Mitchel, Noam Aigerman, Vladimir G. Kim, Michael Kazhdan
Möbius Convolutions for Spherical CNNs. SIGGRAPH (Conference Paper Track) (2022)
Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra
GLASS: Geometric Latent Augmentation for Shape Spaces. CVPR (2022)
Benjamin T. Jones, Michael Hu, Vladimir G. Kim, Adriana Schulz
Self-Supervised Representation Learning for CAD. CoRR (2022)
Bo Sun, Vladimir G. Kim, Noam Aigerman, Qixing Huang, Siddhartha Chaudhuri
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation. ECCV (3) (2022)
Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie
The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts. ECCV (3) (2022)
Luca Morreale, Noam Aigerman, Paul Guerrero, Vladimir G. Kim, Niloy J. Mitra
Neural Convolutional Surfaces. CoRR (2022)
Noam Aigerman, Kunal Gupta, Vladimir G. Kim, Siddhartha Chaudhuri, Jun Saito, Thibault Groueix
Neural jacobian fields: learning intrinsic mappings of arbitrary meshes. ACM Trans. Graph. 41 (4) (2022)
Noam Aigerman, Kunal Gupta, Vladimir G. Kim, Siddhartha Chaudhuri, Jun Saito, Thibault Groueix
Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes. CoRR (2022)
Theo Deprelle, Thibault Groueix, Noam Aigerman, Vladimir G. Kim, Mathieu Aubry
Learning Joint Surface Atlases. CoRR (2022)
Bo Sun, Vladimir G. Kim, Noam Aigerman, Qixing Huang, Siddhartha Chaudhuri
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation. CoRR (2022)
Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas J. Guibas
Joint Learning of 3D Shape Retrieval and Deformation. CoRR (2021)
Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas J. Guibas
Joint Learning of 3D Shape Retrieval and Deformation. CVPR (2021)
Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie
The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts. CoRR (2021)
Luca Morreale, Noam Aigerman, Vladimir G. Kim, Niloy J. Mitra
Neural Surface Maps. CVPR (2021)
Thomas W. Mitchel, Vladimir G. Kim, Michael Kazhdan
Field Convolutions for Surface CNNs. ICCV (2021)
Thomas W. Mitchel, Vladimir G. Kim, Michael Kazhdan
Field Convolutions for Surface CNNs. CoRR (2021)
Benjamin Jones, Dalton Hildreth, Duowen Chen, Ilya Baran, Vladimir G. Kim, Adriana Schulz
AutoMate: a dataset and learning approach for automatic mating of CAD assemblies. ACM Trans. Graph. 40 (6) (2021)
Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CVPR (2021)
Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra
GLASS: Geometric Latent Augmentation for Shape Spaces. CoRR (2021)
Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases. ICCV (2021)
Pierre-Alain Langlois, Matthew Fisher, Oliver Wang, Vladimir G. Kim, Alexandre Boulch, Renaud Marlet, Bryan C. Russell
3D Reconstruction By Parameterized Surface Mapping. ICIP (2021)
Luca Morreale, Noam Aigerman, Vladimir G. Kim, Niloy J. Mitra
Neural Surface Maps. CoRR (2021)
Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases. CoRR (2021)
Jan Bednarík, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua
Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases. CoRR (2021)
Sai Bi, Kalyan Sunkavalli, Federico Perazzi, Eli Shechtman, Vladimir G. Kim, Ravi Ramamoorthi
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. CoRR (2020)
Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao Zhang
COALESCE: Component Assembly by Learning to Synthesize Connections. CoRR (2020)
Xianghao Xu, David Charatan, Sonia Raychaudhuri, Hanxiao Jiang, Mae Heitmann, Vladimir G. Kim, Siddhartha Chaudhuri, Manolis Savva, Angel X. Chang, Daniel Ritchie
Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections. 3DV (2020)
Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling. ECCV (10) (2020)
Yifan Wang, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung
Neural Cages for Detail-Preserving 3D Deformations. CVPR (2020)
Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon
Deep Parametric Shape Predictions Using Distance Fields. CVPR (2020)
Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao (Richard) Zhang, Siddhartha Chaudhuri
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CoRR (2020)
Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao (Richard) Zhang
COALESCE: Component Assembly by Learning to Synthesize Connections. 3DV (2020)
Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir G. Kim, Ming-Hsuan Yang
Modeling Artistic Workflows for Image Generation and Editing. ECCV (18) (2020)
Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling. CoRR (2020)
Omid Poursaeed, Vladimir G. Kim, Eli Shechtman, Jun Saito, Serge J. Belongie
Neural Puppet: Generative Layered Cartoon Characters. WACV (2020)
Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi
Affinity Graph Supervision for Visual Recognition. CVPR (2020)
Mengqi Peng, Li-Yi Wei, Rubaiat Habib Kazi, Vladimir G. Kim
Autocomplete Animated Sculpting. UIST (2020)
Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir G. Kim, Ming-Hsuan Yang
Modeling Artistic Workflows for Image Generation and Editing. CoRR (2020)
Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson
Neural subdivision. ACM Trans. Graph. 39 (4) (2020)
Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi
Affinity Graph Supervision for Visual Recognition. CoRR (2020)
Omid Poursaeed, Tianxing Jiang, Han Qiao, Nayun Xu, Vladimir G. Kim
Self-Supervised Learning of Point Clouds via Orientation Estimation. 3DV (2020)
Omid Poursaeed, Tianxing Jiang, Quintessa Qiao, Nayun Xu, Vladimir G. Kim
Self-supervised Learning of Point Clouds via Orientation Estimation. CoRR (2020)
Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson
Neural Subdivision. CoRR (2020)
Sai Bi, Kalyan Sunkavalli, Federico Perazzi, Eli Shechtman, Vladimir G. Kim, Ravi Ramamoorthi
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. ICCV (2019)
Niloy J. Mitra, Iasonas Kokkinos, Paul Guerrero, Nils Thuerey, Vladimir G. Kim, Leonidas J. Guibas
CreativeAI: deep learning for graphics. SIGGRAPH Courses (2019)
Omid Poursaeed, Vladimir G. Kim, Eli Shechtman, Jun Saito, Serge J. Belongie
Neural Puppet: Generative Layered Cartoon Characters. CoRR (2019)
Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
Learning elementary structures for 3D shape generation and matching. NeurIPS (2019)
Elena Balashova, Amit H. Bermano, Vladimir G. Kim, Stephen DiVerdi, Aaron Hertzmann, Thomas A. Funkhouser
Learning A Stroke-Based Representation for Fonts. Comput. Graph. Forum 38 (1) (2019)
Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction. CVPR (2019)
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
Unsupervised cycle-consistent deformation for shape matching. CoRR (2019)
He Wang, Sören Pirk, Ersin Yumer, Vladimir G. Kim, Ozan Sener, Srinath Sridhar, Leonidas J. Guibas
Learning a Generative Model for Multi-Step Human-Object Interactions from Videos. Comput. Graph. Forum 38 (2) (2019)
Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi
FAN: Focused Attention Networks. CoRR (2019)
Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction. CoRR (2019)
Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon
Deep Parametric Shape Predictions using Distance Fields. CoRR (2019)
Yifan Wang, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung
Neural Cages for Detail-Preserving 3D Deformations. CoRR (2019)
Roberto M. Dyke, C. Stride, Yu-Kun Lai, Paul L. Rosin, Mathieu Aubry, Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers, Matthew Fisher, Thibault Groueix, Daoliang Guo, Vladimir G. Kim, Ron Kimmel, Zorah Lähner, Kun Li, Or Litany, Tal Remez, Emanuele Rodolà, Bryan C. Russell, Yusuf Sahillioglu, Ron Slossberg, Gary K. L. Tam, Matthias Vestner, Z. Wu, Jingyu Yang
Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics (2019)
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
Unsupervised cycle-consistent deformation for shape matching. Comput. Graph. Forum 38 (5) (2019)
Amit Raj, Cusuh Ham, Connelly Barnes, Vladimir G. Kim, Jingwan Lu, James Hays
Learning to Generate Textures on 3D Meshes. CVPR Workshops (2019)
Sanjeev Muralikrishnan, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri
Shape Unicode: A Unified Shape Representation. CVPR (2019)
Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
Learning elementary structures for 3D shape generation and matching. CoRR (2019)
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
A Papier-Mâché Approach to Learning 3D Surface Generation. CVPR (2018)
Minhyuk Sung, Anastasia Dubrovina, Vladimir G. Kim, Leonidas J. Guibas
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces. Comput. Graph. Forum 37 (5) (2018)
Xinyi Fan, Amit H. Bermano, Vladimir G. Kim, Jovan Popovic, Szymon Rusinkiewicz
Tooncap: a layered deformable model for capturing poses from cartoon characters. Expressive (2018)
Sanjeev Muralikrishnan, Vladimir G. Kim, Siddhartha Chaudhuri
Tags2Parts: Discovering Semantic Regions From Shape Tags. CVPR (2018)
Hubert Lin, Melinos Averkiou, Evangelos Kalogerakis, Balazs Kovacs, Siddhant Ranade, Vladimir G. Kim, Siddhartha Chaudhuri, Kavita Bala
Learning Material-Aware Local Descriptors for 3D Shapes. CoRR (2018)
Minchen Li, Danny M. Kaufman, Vladimir G. Kim, Justin Solomon, Alla Sheffer
OptCuts: joint optimization of surface cuts and parameterization. ACM Trans. Graph. 37 (6) (2018)
Hubert Lin, Melinos Averkiou, Evangelos Kalogerakis, Balazs Kovacs, Siddhant Ranade, Vladimir G. Kim, Siddhartha Chaudhuri, Kavita Bala
Learning Material-Aware Local Descriptors for 3D Shapes. 3DV (2018)
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
3D-CODED: 3D Correspondences by Deep Deformation. ECCV (2) (2018)
Minhyuk Sung, Anastasia Dubrovina, Vladimir G. Kim, Leonidas J. Guibas
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces. CoRR (2018)
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
Shape correspondences from learnt template-based parametrization. CoRR (2018)
Marek Dvoroznák, Wilmot Li, Vladimir G. Kim, Daniel Sýkora
Toonsynth: example-based synthesis of hand-colored cartoon animations. ACM Trans. Graph. 37 (4) (2018)
Haibin Huang, Evangelos Kalogerakis, Siddhartha Chaudhuri, Duygu Ceylan, Vladimir G. Kim, Ersin Yumer
Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks. ACM Trans. Graph. 37 (1) (2018)
Niloy J. Mitra, Vladimir G. Kim, Ersin Yumer, Moos Hueting, Nathan Carr, Pradyumna Reddy
SeeThrough: Finding Objects in Heavily Occluded Indoor Scene Images. 3DV (2018)
Niloy J. Mitra, Tobias Ritschel, Iasonas Kokkinos, Paul Guerrero, Vladimir G. Kim, Konstantinos Rematas, Ersin Yumer
Deep Learning for Graphics. Eurographics (Tutorials) (2018)
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation. CoRR (2018)
Samaneh Azadi, Matthew Fisher, Vladimir G. Kim, Zhaowen Wang, Eli Shechtman, Trevor Darrell
Multi-Content GAN for Few-Shot Font Style Transfer. CVPR (2018)

Vladimir G. Kim.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Vladimir G. Kim