Minhyuk Sung

Orcid: 0000-0001-7428-9570

According to our database1, Minhyuk Sung authored at least 36 papers between 2015 and 2024.

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Bibliography

2024
InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion.
CoRR, 2024

SyncTweedies: A General Generative Framework Based on Synchronized Diffusions.
CoRR, 2024

ReGround: Improving Textual and Spatial Grounding at No Cost.
CoRR, 2024

PartSTAD: 2D-to-3D Part Segmentation Task Adaptation.
CoRR, 2024

2023
OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation.
Comput. Graph. Forum, October, 2023

As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors.
CoRR, 2023

Posterior Distillation Sampling.
CoRR, 2023

Split, Merge, and Refine: Fitting Tight Bounding Boxes via Learned Over-Segmentation and Iterative Search.
CoRR, 2023

Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
3D-GIF: 3D-Controllable Object Generation via Implicit Factorized Representations.
CoRR, 2022

Implicit LiDAR Network: LiDAR Super-Resolution via Interpolation Weight Prediction.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

LADIS: Language Disentanglement for 3D Shape Editing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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

Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

PartGlot: Learning Shape Part Segmentation from Language Reference Games.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds.
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

DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes With Biharmonic Coordinates.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
DeformSyncNet: Deformation transfer via synchronized shape deformation spaces.
ACM Trans. Graph., 2020

Deformation-Aware 3D Model Embedding and Retrieval.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning 3D Part Assembly from a Single Image.
Proceedings of the Computer Vision - ECCV 2020, 2020

Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Learning and exploring the compositional structure of 3D data.
PhD thesis, 2019

GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Supervised Fitting of Geometric Primitives to 3D Point Clouds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

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

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


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