Vladimir G. Kim

Orcid: 0000-0002-3996-6588

According to our database1, Vladimir G. Kim authored at least 99 papers between 2009 and 2024.

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Bibliography

2024
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns.
ACM Trans. Graph., July, 2024

Neural Semantic Surface Maps.
Comput. Graph. Forum, May, 2024

MemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design Feedback.
CoRR, 2024

MeshUp: Multi-Target Mesh Deformation via Blended Score Distillation.
CoRR, 2024

Temporal Residual Jacobians For Rig-free Motion Transfer.
CoRR, 2024

Text-guided Controllable Mesh Refinement for Interactive 3D Modeling.
CoRR, 2024

MatAtlas: Text-driven Consistent Geometry Texturing and Material Assignment.
CoRR, 2024

MagicClay: Sculpting Meshes With Generative Neural Fields.
CoRR, 2024

GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement.
Proceedings of the Computer Vision - ECCV 2024, 2024

As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Explorable Mesh Deformation Subspaces from Unstructured Generative Models.
CoRR, 2023

Zero-shot CAD Program Re-Parameterization for Interactive Manipulation.
CoRR, 2023

TextDeformer: Geometry Manipulation using Text Guidance.
CoRR, 2023

Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

ReparamCAD: Zero-shot CAD Re-Parameterization for Interactive Manipulation.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Neural Progressive Meshes.
Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Learning Proximal Operators to Discover Multiple Optima.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Self-Supervised Representation Learning for CAD.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Neural jacobian fields: learning intrinsic mappings of arbitrary meshes.
ACM Trans. Graph., 2022

Self-Supervised Representation Learning for CAD.
CoRR, 2022

Learning Joint Surface Atlases.
CoRR, 2022

Möbius Convolutions for Spherical CNNs.
Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts.
Proceedings of the Computer Vision - ECCV 2022, 2022

PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation.
Proceedings of the Computer Vision - ECCV 2022, 2022

GLASS: Geometric Latent Augmentation for Shape Spaces.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Neural Convolutional Surfaces.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
AutoMate: a dataset and learning approach for automatic mating of CAD assemblies.
ACM Trans. Graph., 2021

Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases.
CoRR, 2021

3D Reconstruction By Parameterized Surface Mapping.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Field Convolutions for Surface CNNs.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Joint Learning of 3D Shape Retrieval and Deformation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Neural Surface Maps.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DECOR-GAN: 3D Shape Detailization by Conditional Refinement.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Neural subdivision.
ACM Trans. Graph., 2020

Self-supervised Learning of Point Clouds via Orientation Estimation.
CoRR, 2020

Neural Puppet: Generative Layered Cartoon Characters.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Autocomplete Animated Sculpting.
Proceedings of the UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020

Modeling Artistic Workflows for Image Generation and Editing.
Proceedings of the Computer Vision - ECCV 2020, 2020

Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling.
Proceedings of the Computer Vision - ECCV 2020, 2020

Affinity Graph Supervision for Visual Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Neural Cages for Detail-Preserving 3D Deformations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep Parametric Shape Predictions Using Distance Fields.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

COALESCE: Component Assembly by Learning to Synthesize Connections.
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.
Proceedings of the 8th International Conference on 3D Vision, 2020

Self-Supervised Learning of Point Clouds via Orientation Estimation.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
FAN: Focused Attention Networks.
CoRR, 2019

Learning a Generative Model for Multi-Step Human-Object Interactions from Videos.
Comput. Graph. Forum, 2019

Unsupervised cycle-consistent deformation for shape matching.
Comput. Graph. Forum, 2019

Learning A Stroke-Based Representation for Fonts.
Comput. Graph. Forum, 2019

CreativeAI: deep learning for graphics.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2019

Learning elementary structures for 3D shape generation and matching.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning to Generate Textures on 3D Meshes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Shape Unicode: A Unified Shape Representation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


2018
OptCuts: joint optimization of surface cuts and parameterization.
ACM Trans. Graph., 2018

Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks.
ACM Trans. Graph., 2018

Toonsynth: example-based synthesis of hand-colored cartoon animations.
ACM Trans. Graph., 2018

Shape correspondences from learnt template-based parametrization.
CoRR, 2018

AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation.
CoRR, 2018

Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces.
Comput. Graph. Forum, 2018

Tooncap: a layered deformable model for capturing poses from cartoon characters.
Proceedings of the 7th Joint Symposium on Computational Aesthetics, 2018

Deep Learning for Graphics.
Proceedings of the 39th Annual Conference of the European Association for Computer Graphics, 2018

Real-Time Hair Rendering Using Sequential Adversarial Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

3D-CODED: 3D Correspondences by Deep Deformation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Tags2Parts: Discovering Semantic Regions From Shape Tags.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

A Papier-Mâché Approach to Learning 3D Surface Generation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Multi-Content GAN for Few-Shot Font Style Transfer.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

SeeThrough: Finding Objects in Heavily Occluded Indoor Scene Images.
Proceedings of the 2018 International Conference on 3D Vision, 2018

Learning Material-Aware Local Descriptors for 3D Shapes.
Proceedings of the 2018 International Conference on 3D Vision, 2018

2017
Learning hierarchical shape segmentation and labeling from online repositories.
ACM Trans. Graph., 2017

Complementme: weakly-supervised component suggestions for 3D modeling.
ACM Trans. Graph., 2017

Convolutional neural networks on surfaces via seamless toric covers.
ACM Trans. Graph., 2017

SeeThrough: Finding Chairs in Heavily Occluded Indoor Scenes.
CoRR, 2017

Learning local shape descriptors with view-based convolutional networks.
CoRR, 2017

Data-Driven Shape Analysis and Processing.
Comput. Graph. Forum, 2017

GWCNN: A Metric Alignment Layer for Deep Shape Analysis.
Comput. Graph. Forum, 2017

2016
A scalable active framework for region annotation in 3D shape collections.
ACM Trans. Graph., 2016

Entropic metric alignment for correspondence problems.
ACM Trans. Graph., 2016

Physics-driven pattern adjustment for direct 3D garment editing.
ACM Trans. Graph., 2016

Autocorrelation Descriptor for Efficient Co-Alignment of 3D Shape Collections.
Comput. Graph. Forum, 2016

Data-driven shape analysis and processing.
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Courses, 2016

2015
Data-driven structural priors for shape completion.
ACM Trans. Graph., 2015

2014
Shape2Pose: human-centric shape analysis.
ACM Trans. Graph., 2014

ShapeSynth: Parameterizing model collections for coupled shape exploration and synthesis.
Comput. Graph. Forum, 2014

Structure-aware shape processing.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2014

2013
Understanding the Structure of Large, Diverse Collections of Shapes
PhD thesis, 2013

Learning part-based templates from large collections of 3D shapes.
ACM Trans. Graph., 2013

2012
Simple formulas for quasiconformal plane deformations.
ACM Trans. Graph., 2012

Exploring collections of 3D models using fuzzy correspondences.
ACM Trans. Graph., 2012

Symmetry-guided texture synthesis and manipulation.
ACM Trans. Graph., 2012

Finding Surface Correspondences Using Symmetry Axis Curves.
Comput. Graph. Forum, 2012

2011
Blended intrinsic maps.
ACM Trans. Graph., 2011

2010
Möbius Transformations For Global Intrinsic Symmetry Analysis.
Comput. Graph. Forum, 2010

2009
Shape-based recognition of 3D point clouds in urban environments.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009


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