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Vladimir G. Kim
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2020 – today
- 2024
- [j31]Luca Morreale
, Noam Aigerman
Neural Semantic Surface Maps. Comput. Graph. Forum 43(2): i-iii (2024) - [j30]Arman Maesumi
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns. ACM Trans. Graph. 43(4): 114:1-114:21 (2024) - [c53]Seungwoo Yoo, Kunho Kim, Vladimir G. Kim, Minhyuk Sung:
As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors. CVPR 2024: 4315-4324 - [c52]Sanjeev Muralikrishnan
Temporal Residual Jacobians for Rig-Free Motion Transfer. ECCV (58) 2024: 93-109 - [c51]Qimin Chen, Zhiqin Chen
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement. ECCV (39) 2024: 110-127 - [c50]Dmitry Petrov
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis. SIGGRAPH (Conference Paper Track) 2024: 92 - [c49]Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson:
Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. SIGGRAPH Asia 2024: 10:1-10:11 - [c48]Amir Barda, Vladimir G. Kim, Noam Aigerman, Amit Haim Bermano, Thibault Groueix:
MagicClay: Sculpting Meshes With Generative Neural Fields. SIGGRAPH Asia 2024: 103:1-103:10 - [i56]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 abs/2402.16994 (2024) - [i55]Amir Barda, Vladimir G. Kim, Noam Aigerman, Amit H. Bermano, Thibault Groueix:
MagicClay: Sculpting Meshes With Generative Neural Fields. CoRR abs/2403.02460 (2024) - [i54]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 abs/2404.02899 (2024) - [i53]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 abs/2404.16292 (2024) - [i52]Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson:
Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. CoRR abs/2406.01592 (2024) - [i51]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 abs/2407.14958 (2024) - [i50]Hyunwoo Kim, Itai Lang, Noam Aigerman, Thibault Groueix, Vladimir G. Kim, Rana Hanocka:
MeshUp: Multi-Target Mesh Deformation via Blended Score Distillation. CoRR abs/2408.14899 (2024) - [i49]Chen Chen, Cuong Nguyen, Thibault Groueix, Vladimir G. Kim, Nadir Weibel:
MemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design Feedback. CoRR abs/2409.06082 (2024) - [i48]Qimin Chen, Zhiqin Chen, Vladimir G. Kim, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri:
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement. CoRR abs/2409.06129 (2024) - 2023
- [c47]Richard Liu, Noam Aigerman, Vladimir G. Kim, Rana Hanocka:
DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization. CVPR 2023: 16739-16749 - [c46]Benjamin T. Jones, Michael Hu, Milin Kodnongbua, Vladimir G. Kim, Adriana Schulz:
Self-Supervised Representation Learning for CAD. CVPR 2023: 21327-21336 - [c45]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 - [c44]Yun-Chun Chen
Neural Progressive Meshes. SIGGRAPH (Conference Paper Track) 2023: 84:1-84:9 - [c43]Arman Maesumi
Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models. SIGGRAPH Asia 2023: 68:1-68:11 - [c42]Milin Kodnongbua
ReparamCAD: Zero-shot CAD Re-Parameterization for Interactive Manipulation. SIGGRAPH Asia 2023: 69:1-69:12 - [i47]William Gao, Noam Aigerman, Thibault Groueix, Vladimir G. Kim, Rana Hanocka:
TextDeformer: Geometry Manipulation using Text Guidance. CoRR abs/2304.13348 (2023) - [i46]Milin Kodnongbua, Benjamin T. Jones, Maaz Bin Safeer Ahmad, Vladimir G. Kim, Adriana Schulz:
Zero-shot CAD Program Re-Parameterization for Interactive Manipulation. CoRR abs/2306.03217 (2023) - [i45]Yun-Chun Chen, Vladimir G. Kim, Noam Aigerman, Alec Jacobson:
Neural Progressive Meshes. CoRR abs/2308.05741 (2023) - [i44]Luca Morreale, Noam Aigerman, Vladimir G. Kim, Niloy J. Mitra:
Neural Semantic Surface Maps. CoRR abs/2309.04836 (2023) - [i43]Arman Maesumi, Paul Guerrero, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Noam Aigerman, Daniel Ritchie:
Explorable Mesh Deformation Subspaces from Unstructured Generative Models. CoRR abs/2310.07814 (2023) - [i42]Seungwoo Yoo, Kunho Kim, Vladimir G. Kim, Minhyuk Sung:
As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors. CoRR abs/2311.16739 (2023) - 2022
- [j29]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): 109:1-109:17 (2022) - [c41]Sanjeev Muralikrishnan
GLASS: Geometric Latent Augmentation for Shape Spaces. CVPR 2022: 470-479 - [c40]Luca Morreale
Neural Convolutional Surfaces. CVPR 2022: 19311-19320 - [c39]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: 503-522 - [c38]Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung
The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts. ECCV (3) 2022: 610-626 - [c37]Thomas W. Mitchel, Noam Aigerman, Vladimir G. Kim, Michael Kazhdan:
Möbius Convolutions for Spherical CNNs. SIGGRAPH (Conference Paper Track) 2022: 30:1-30:9 - [i41]Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon:
Learning Proximal Operators to Discover Multiple Optima. CoRR abs/2201.11945 (2022) - [i40]Thomas W. Mitchel, Noam Aigerman, Vladimir G. Kim, Michael Kazhdan:
Möbius Convolutions for Spherical CNNs. CoRR abs/2201.12212 (2022) - [i39]Luca Morreale, Noam Aigerman, Paul Guerrero, Vladimir G. Kim, Niloy J. Mitra:
Neural Convolutional Surfaces. CoRR abs/2204.02289 (2022) - [i38]Noam Aigerman, Kunal Gupta, Vladimir G. Kim, Siddhartha Chaudhuri, Jun Saito, Thibault Groueix:
Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes. CoRR abs/2205.02904 (2022) - [i37]Theo Deprelle, Thibault Groueix, Noam Aigerman, Vladimir G. Kim, Mathieu Aubry:
Learning Joint Surface Atlases. CoRR abs/2206.06273 (2022) - [i36]Bo Sun, Vladimir G. Kim, Noam Aigerman, Qixing Huang, Siddhartha Chaudhuri:
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation. CoRR abs/2207.11790 (2022) - [i35]Benjamin T. Jones, Michael Hu, Vladimir G. Kim, Adriana Schulz:
Self-Supervised Representation Learning for CAD. CoRR abs/2210.10807 (2022) - [i34]Richard Liu, Noam Aigerman, Vladimir G. Kim, Rana Hanocka:
DA Wand: Distortion-Aware Selection using Neural Mesh Parameterization. CoRR abs/2212.06344 (2022) - 2021
- [j28]Benjamin T. Jones, Dalton Hildreth, Duowen Chen
AutoMate: a dataset and learning approach for automatic mating of CAD assemblies. ACM Trans. Graph. 40(6): 227:1-227:18 (2021) - [c36]Luca Morreale
Neural Surface Maps. CVPR 2021: 4639-4648 - [c35]Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung
Joint Learning of 3D Shape Retrieval and Deformation. CVPR 2021: 11713-11722 - [c34]Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri:
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CVPR 2021: 15740-15749 - [c33]Thomas W. Mitchel, Vladimir G. Kim, Michael Kazhdan:
Field Convolutions for Surface CNNs. ICCV 2021: 9981-9991 - [c32]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: 10438-10447 - [c31]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: 3273-3277 - [i33]Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas J. Guibas:
Joint Learning of 3D Shape Retrieval and Deformation. CoRR abs/2101.07889 (2021) - [i32]Luca Morreale, Noam Aigerman, Vladimir G. Kim, Niloy J. Mitra:
Neural Surface Maps. CoRR abs/2103.16942 (2021) - [i31]Thomas W. Mitchel, Vladimir G. Kim, Michael Kazhdan:
Field Convolutions for Surface CNNs. CoRR abs/2104.03916 (2021) - [i30]Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman:
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases. CoRR abs/2104.06950 (2021) - [i29]Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra:
GLASS: Geometric Latent Augmentation for Shape Spaces. CoRR abs/2108.03225 (2021) - [i28]Jan Bednarík, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua:
Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases. CoRR abs/2111.06838 (2021) - [i27]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 abs/2112.00584 (2021) - 2020
- [j27]Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson:
Neural subdivision. ACM Trans. Graph. 39(4): 124 (2020) - [c30]Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao (Richard) Zhang
COALESCE: Component Assembly by Learning to Synthesize Connections. 3DV 2020: 61-70 - [c29]Xianghao Xu, David Charatan, Sonia Raychaudhuri
Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections. 3DV 2020: 613-622 - [c28]Omid Poursaeed, Tianxing Jiang, Han Qiao, Nayun Xu, Vladimir G. Kim:
Self-Supervised Learning of Point Clouds via Orientation Estimation. 3DV 2020: 1018-1028 - [c27]Yifan Wang
Neural Cages for Detail-Preserving 3D Deformations. CVPR 2020: 72-80 - [c26]Dmitriy Smirnov
Deep Parametric Shape Predictions Using Distance Fields. CVPR 2020: 558-567 - [c25]Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi:
Affinity Graph Supervision for Visual Recognition. CVPR 2020: 8244-8252 - [c24]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: 158-174 - [c23]Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim:
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling. ECCV (10) 2020: 667-683 - [c22]Mengqi Peng, Li-Yi Wei, Rubaiat Habib Kazi, Vladimir G. Kim:
Autocomplete Animated Sculpting. UIST 2020: 760-777 - [c21]Omid Poursaeed
Neural Puppet: Generative Layered Cartoon Characters. WACV 2020: 3335-3345 - [i26]Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi:
Affinity Graph Supervision for Visual Recognition. CoRR abs/2003.09049 (2020) - [i25]Sai Bi, Kalyan Sunkavalli, Federico Perazzi, Eli Shechtman, Vladimir G. Kim, Ravi Ramamoorthi:
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. CoRR abs/2003.12649 (2020) - [i24]Hsueh-Ti Derek Liu, Vladimir G. Kim, Siddhartha Chaudhuri, Noam Aigerman, Alec Jacobson:
Neural Subdivision. CoRR abs/2005.01819 (2020) - [i23]Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir G. Kim, Ming-Hsuan Yang:
Modeling Artistic Workflows for Image Generation and Editing. CoRR abs/2007.07238 (2020) - [i22]Omid Poursaeed
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling. CoRR abs/2007.10294 (2020) - [i21]Omid Poursaeed
Self-supervised Learning of Point Clouds via Orientation Estimation. CoRR abs/2008.00305 (2020) - [i20]Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao Zhang:
COALESCE: Component Assembly by Learning to Synthesize Connections. CoRR abs/2008.01936 (2020) - [i19]Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao (Richard) Zhang, Siddhartha Chaudhuri:
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CoRR abs/2012.09159 (2020)
2010 – 2019
- 2019
- [j26]Elena Balashova, Amit H. Bermano
Learning A Stroke-Based Representation for Fonts. Comput. Graph. Forum 38(1): 429-442 (2019) - [j25]He Wang
Learning a Generative Model for Multi-Step Human-Object Interactions from Videos. Comput. Graph. Forum 38(2): 367-378 (2019) - [j24]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
Unsupervised cycle-consistent deformation for shape matching. Comput. Graph. Forum 38(5): 123-133 (2019) - [c20]Roberto M. Dyke
Shape Correspondence with Isometric and Non-Isometric Deformations. 3DOR@Eurographics 2019: 111-119 - [c19]Amit Raj, Cusuh Ham, Connelly Barnes, Vladimir G. Kim, Jingwan Lu, James Hays:
Learning to Generate Textures on 3D Meshes. CVPR Workshops 2019: 32-38 - [c18]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: 969-978 - [c17]Sanjeev Muralikrishnan, Vladimir G. Kim, Matthew Fisher
Shape Unicode: A Unified Shape Representation. CVPR 2019: 3790-3799 - [c16]Sai Bi, Kalyan Sunkavalli, Federico Perazzi, Eli Shechtman, Vladimir G. Kim, Ravi Ramamoorthi:
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. ICCV 2019: 2730-2739 - [c15]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: 7433-7443 - [c14]Niloy J. Mitra, Iasonas Kokkinos, Paul Guerrero, Nils Thuerey, Vladimir G. Kim, Leonidas J. Guibas:
CreativeAI: deep learning for graphics. SIGGRAPH Courses 2019: 8:1-8:265 - [i18]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 abs/1903.08642 (2019) - [i17]Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions using Distance Fields. CoRR abs/1904.08921 (2019) - [i16]Chu Wang, Babak Samari, Vladimir G. Kim, Siddhartha Chaudhuri, Kaleem Siddiqi:
FAN: Focused Attention Networks. CoRR abs/1905.11498 (2019) - [i15]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Unsupervised cycle-consistent deformation for shape matching. CoRR abs/1907.03165 (2019) - [i14]Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Learning elementary structures for 3D shape generation and matching. CoRR abs/1908.04725 (2019) - [i13]Omid Poursaeed, Vladimir G. Kim, Eli Shechtman, Jun Saito, Serge J. Belongie:
Neural Puppet: Generative Layered Cartoon Characters. CoRR abs/1910.02060 (2019) - [i12]Yifan Wang, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung:
Neural Cages for Detail-Preserving 3D Deformations. CoRR abs/1912.06395 (2019) - 2018
- [j23]Minhyuk Sung
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces. Comput. Graph. Forum 37(5): 71-81 (2018) - [j22]Haibin Huang, Evangelos Kalogerakis
Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks. ACM Trans. Graph. 37(1): 6 (2018) - [j21]Marek Dvoroznák, Wilmot Li, Vladimir G. Kim, Daniel Sýkora:
Toonsynth: example-based synthesis of hand-colored cartoon animations. ACM Trans. Graph. 37(4): 167 (2018) - [j20]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): 247 (2018) - [c13]Hubert Lin, Melinos Averkiou
Learning Material-Aware Local Descriptors for 3D Shapes. 3DV 2018: 150-159 - [c12]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: 267-276 - [c11]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
A Papier-Mâché Approach to Learning 3D Surface Generation. CVPR 2018: 216-224 - [c10]Sanjeev Muralikrishnan, Vladimir G. Kim, Siddhartha Chaudhuri:
Tags2Parts: Discovering Semantic Regions From Shape Tags. CVPR 2018: 2926-2935 - [c9]Samaneh Azadi, Matthew Fisher, Vladimir G. Kim, Zhaowen Wang, Eli Shechtman, Trevor Darrell:
Multi-Content GAN for Few-Shot Font Style Transfer. CVPR 2018: 7564-7573 - [c8]Lingyu Wei
Real-Time Hair Rendering Using Sequential Adversarial Networks. ECCV (4) 2018: 105-122 - [c7]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
3D-CODED: 3D Correspondences by Deep Deformation. ECCV (2) 2018: 235-251 - [c6]Niloy J. Mitra, Tobias Ritschel, Iasonas Kokkinos, Paul Guerrero, Vladimir G. Kim, Konstantinos Rematas, Ersin Yumer:
Deep Learning for Graphics. Eurographics (Tutorials) 2018: 13-15 - [c5]Xinyi Fan, Amit H. Bermano
Tooncap: a layered deformable model for capturing poses from cartoon characters. Expressive 2018: 16:1-16:12 - [i11]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation. CoRR abs/1802.05384 (2018) - [i10]Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry:
Shape correspondences from learnt template-based parametrization. CoRR abs/1806.05228 (2018) - [i9]Minhyuk Sung, Anastasia Dubrovina, Vladimir G. Kim, Leonidas J. Guibas:
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces. CoRR abs/1807.01519 (2018) - [i8]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 abs/1810.08729 (2018) - 2017
- [j19]Kai Xu, Vladimir G. Kim, Qixing Huang, Evangelos Kalogerakis
Data-Driven Shape Analysis and Processing. Comput. Graph. Forum 36(1): 101-132 (2017) - [j18]Danielle Ezuz, Justin Solomon, Vladimir G. Kim, Mirela Ben-Chen:
GWCNN: A Metric Alignment Layer for Deep Shape Analysis. Comput. Graph. Forum 36(5): 49-57 (2017) - [j17]Li Yi, Leonidas J. Guibas, Aaron Hertzmann
Learning hierarchical shape segmentation and labeling from online repositories. ACM Trans. Graph. 36(4): 70:1-70:12 (2017) - [j16]Haggai Maron, Meirav Galun, Noam Aigerman, Miri Trope, Nadav Dym, Ersin Yumer, Vladimir G. Kim, Yaron Lipman:
Convolutional neural networks on surfaces via seamless toric covers. ACM Trans. Graph. 36(4): 71:1-71:10 (2017) - [j15]Minhyuk Sung
Complementme: weakly-supervised component suggestions for 3D modeling. ACM Trans. Graph. 36(6): 226:1-226:12 (2017) - [i7]Li Yi, Leonidas J. Guibas, Aaron Hertzmann, Vladimir G. Kim, Hao Su, Ersin Yumer:
Learning Hierarchical Shape Segmentation and Labeling from Online Repositories. CoRR abs/1705.01661 (2017) - [i6]Haibin Huang, Evangelos Kalogerakis, Siddhartha Chaudhuri, Duygu Ceylan, Vladimir G. Kim, Ersin Yumer:
Learning local shape descriptors with view-based convolutional networks. CoRR abs/1706.04496 (2017) - [i5]Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas:
ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling. CoRR abs/1708.01841 (2017) - [i4]Sanjeev Muralikrishnan, Vladimir G. Kim, Siddhartha Chaudhuri:
Tags2Parts: Discovering Semantic Regions from Shape Tags. CoRR abs/1708.06673 (2017) - [i3]Moos Hueting, Vladimir G. Kim, Ersin Yumer, Nathan Carr, Niloy J. Mitra:
SeeThrough: Finding Chairs in Heavily Occluded Indoor Scenes. CoRR abs/1710.10473 (2017) - [i2]Samaneh Azadi, Matthew Fisher, Vladimir G. Kim, Zhaowen Wang, Eli Shechtman, Trevor Darrell:
Multi-Content GAN for Few-Shot Font Style Transfer. CoRR abs/1712.00516 (2017) - 2016
- [j14]Melinos Averkiou
Autocorrelation Descriptor for Efficient Co-Alignment of 3D Shape Collections. Comput. Graph. Forum 35(1): 261-271 (2016) - [j13]Aric Bartle, Alla Sheffer, Vladimir G. Kim, Danny M. Kaufman, Nicholas Vining, Floraine Berthouzoz:
Physics-driven pattern adjustment for direct 3D garment editing. ACM Trans. Graph. 35(4): 50:1-50:11 (2016) - [j12]Justin Solomon, Gabriel Peyré, Vladimir G. Kim, Suvrit Sra:
Entropic metric alignment for correspondence problems. ACM Trans. Graph. 35(4): 72:1-72:13 (2016) - [j11]Li Yi, Vladimir G. Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, Leonidas J. Guibas:
A scalable active framework for region annotation in 3D shape collections. ACM Trans. Graph. 35(6): 210:1-210:12 (2016) - [c4]Kai Xu, Vladimir G. Kim, Qixing Huang, Niloy J. Mitra, Evangelos Kalogerakis
Data-driven shape analysis and processing. SIGGRAPH ASIA Courses 2016: 4:1-4:38 - 2015
- [j10]Minhyuk Sung
Data-driven structural priors for shape completion. ACM Trans. Graph. 34(6): 175:1-175:11 (2015) - [i1]Kai Xu, Vladimir G. Kim, Qixing Huang, Evangelos Kalogerakis:
Data-Driven Shape Analysis and Processing. CoRR abs/1502.06686 (2015) - 2014
- [j9]Melinos Averkiou
ShapeSynth: Parameterizing model collections for coupled shape exploration and synthesis. Comput. Graph. Forum 33(2): 125-134 (2014) - [j8]Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas, Thomas A. Funkhouser:
Shape2Pose: human-centric shape analysis. ACM Trans. Graph. 33(4): 120:1-120:12 (2014) - [c3]Niloy J. Mitra, Michael Wand, Hao Zhang
Structure-aware shape processing. SIGGRAPH Courses 2014: 13:1-13:21 - 2013
- [b1]Vladimir G. Kim:
Understanding the Structure of Large, Diverse Collections of Shapes. Princeton University, USA, 2013 - [j7]Vladimir G. Kim, Wilmot Li, Niloy J. Mitra, Siddhartha Chaudhuri, Stephen DiVerdi, Thomas A. Funkhouser:
Learning part-based templates from large collections of 3D shapes. ACM Trans. Graph. 32(4): 70:1-70:12 (2013) - [c2]Niloy J. Mitra, Michael Wand, Hao (Richard) Zhang
Structure-aware shape processing. SIGGRAPH ASIA Courses 2013: 1:1-1:20 - 2012
- [j6]Tianqiang Liu, Vladimir G. Kim, Thomas A. Funkhouser:
Finding Surface Correspondences Using Symmetry Axis Curves. Comput. Graph. Forum 31(5): 1607-1616 (2012) - [j5]Vladimir G. Kim, Yaron Lipman, Thomas A. Funkhouser:
Symmetry-guided texture synthesis and manipulation. ACM Trans. Graph. 31(3): 22:1-22:14 (2012) - [j4]Vladimir G. Kim, Wilmot Li, Niloy J. Mitra, Stephen DiVerdi, Thomas A. Funkhouser:
Exploring collections of 3D models using fuzzy correspondences. ACM Trans. Graph. 31(4): 54:1-54:11 (2012) - [j3]Yaron Lipman, Vladimir G. Kim, Thomas A. Funkhouser:
Simple formulas for quasiconformal plane deformations. ACM Trans. Graph. 31(5): 124:1-124:13 (2012) - 2011
- [j2]Vladimir G. Kim, Yaron Lipman, Thomas A. Funkhouser:
Blended intrinsic maps. ACM Trans. Graph. 30(4): 79 (2011) - 2010
- [j1]Vladimir G. Kim, Yaron Lipman, Xiaobai Chen, Thomas A. Funkhouser:
Möbius Transformations For Global Intrinsic Symmetry Analysis. Comput. Graph. Forum 29(5): 1689-1700 (2010)
2000 – 2009
- 2009
- [c1]Aleksey Golovinskiy, Vladimir G. Kim, Thomas A. Funkhouser:
Shape-based recognition of 3D point clouds in urban environments. ICCV 2009: 2154-2161
Coauthor Index
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