Search Results for author: Minhyuk Sung

Found 20 papers, 14 papers with code

3D-GIF: 3D-Controllable Object Generation via Implicit Factorized Representations

no code implementations12 Mar 2022 Minsoo Lee, Chaeyeon Chung, Hojun Cho, Minjung Kim, Sanghun Jung, Jaegul Choo, Minhyuk Sung

While NeRF-based 3D-aware image generation methods enable viewpoint control, limitations still remain to be adopted to various 3D applications.

Image Generation

Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders

no code implementations17 Dec 2021 Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas Guibas

We propose Point2Cyl, a supervised network transforming a raw 3D point cloud to a set of extrusion cylinders.

PartGlot: Learning Shape Part Segmentation from Language Reference Games

1 code implementation13 Dec 2021 Juil Koo, IAn Huang, Panos Achlioptas, Leonidas Guibas, Minhyuk Sung

We introduce PartGlot, a neural framework and associated architectures for learning semantic part segmentation of 3D shape geometry, based solely on part referential language.

The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts

no code implementations1 Dec 2021 Kai Wang, Paul Guerrero, Vladimir Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie

We present the Shape Part Slot Machine, a new method for assembling novel 3D shapes from existing parts by performing contact-based reasoning.

CTRL-C: Camera calibration TRansformer with Line-Classification

1 code implementation ICCV 2021 Jinwoo Lee, Hyunsung Go, Hyunjoon Lee, Sunghyun Cho, Minhyuk Sung, Junho Kim

In this work, we propose Camera calibration TRansformer with Line-Classification (CTRL-C), an end-to-end neural network-based approach to single image camera calibration, which directly estimates the camera parameters from an image and a set of line segments.

Camera Calibration Classification

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

1 code implementation ICCV 2021 Eric-Tuan Lê, Minhyuk Sung, Duygu Ceylan, Radomir Mech, Tamy Boubekeur, Niloy J. Mitra

We present Cascaded Primitive Fitting Networks (CPFN) that relies on an adaptive patch sampling network to assemble detection results of global and local primitive detection networks.

DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates

1 code implementation CVPR 2021 Minghua Liu, Minhyuk Sung, Radomir Mech, Hao Su

Given a collection of 3D meshes of a category and their deformation handles (control points), our method learns a set of meta-handles for each shape, which are represented as combinations of the given handles.

Joint Learning of 3D Shape Retrieval and Deformation

1 code implementation CVPR 2021 Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas Guibas

In fact, we use the embedding space to guide the shape pairs used to train the deformation module, so that it invests its capacity in learning deformations between meaningful shape pairs.

3D Shape Retrieval

MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization

1 code implementation CVPR 2021 Jiahui Huang, He Wang, Tolga Birdal, Minhyuk Sung, Federica Arrigoni, Shi-Min Hu, Leonidas Guibas

We present MultiBodySync, a novel, end-to-end trainable multi-body motion segmentation and rigid registration framework for multiple input 3D point clouds.

Motion Estimation Motion Segmentation

Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images

1 code implementation ECCV 2020 Jiahui Lei, Srinath Sridhar, Paul Guerrero, Minhyuk Sung, Niloy Mitra, Leonidas J. Guibas

We investigate the problem of learning to generate 3D parametric surface representations for novel object instances, as seen from one or more views.

Neural Geometric Parser for Single Image Camera Calibration

no code implementations ECCV 2020 Jinwoo Lee, Minhyuk Sung, Hyunjoon Lee, Junho Kim

With the supervision of datasets consisting of the horizontal line and focal length of the images, our networks can be trained to estimate the same camera parameters.

Camera Calibration

Deformation-Aware 3D Model Embedding and Retrieval

1 code implementation ECCV 2020 Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas Guibas

We introduce a new problem of retrieving 3D models that are deformable to a given query shape and present a novel deep deformation-aware embedding to solve this retrieval task.

3D Object Reconstruction Metric Learning

Supervised Fitting of Geometric Primitives to 3D Point Clouds

2 code implementations CVPR 2019 Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, Leonidas Guibas

Fitting geometric primitives to 3D point cloud data bridges a gap between low-level digitized 3D data and high-level structural information on the underlying 3D shapes.

Shape Representation Of 3D Point Clouds

Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces

1 code implementation4 Jul 2018 Minhyuk Sung, Anastasia Dubrovina, Vladimir G. Kim, Leonidas Guibas

Modeling relations between components of 3D objects is essential for many geometry editing tasks.

Graphics I.3.5

Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions

1 code implementation NeurIPS 2018 Minhyuk Sung, Hao Su, Ronald Yu, Leonidas Guibas

Even though our shapes have independent discretizations and no functional correspondences are provided, the network is able to generate latent bases, in a consistent order, that reflect the shared semantic structure among the shapes.

ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling

1 code implementation6 Aug 2017 Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas Guibas

The combinatorial nature of part arrangements poses another challenge, since the retrieval network is not a function: several complements can be appropriate for the same input.

Graphics I.3.5

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