Search Results for author: Hang Chu

Found 19 papers, 5 papers with code

JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints

2 code implementations24 Nov 2021 Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik

Physical products are often complex assemblies combining a multitude of 3D parts modeled in computer-aided design (CAD) software.

LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies

no code implementations ICCV 2021 Dominic Roberts, Ara Danielyan, Hang Chu, Mani Golparvar-Fard, David Forsyth

Generative models for 3D shapes represented by hierarchies of parts can generate realistic and diverse sets of outputs.

Engineering Sketch Generation for Computer-Aided Design

no code implementations19 Apr 2021 Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu

Engineering sketches form the 2D basis of parametric Computer-Aided Design (CAD), the foremost modeling paradigm for manufactured objects.

House-GAN++: Generative Adversarial Layout Refinement Networks

1 code implementation3 Mar 2021 Nelson Nauata, Sepidehsadat Hosseini, Kai-Hung Chang, Hang Chu, Chin-Yi Cheng, Yasutaka Furukawa

This paper proposes a novel generative adversarial layout refinement network for automated floorplan generation.

Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Construction from Human Design Sequences

1 code implementation5 Oct 2020 Karl D. D. Willis, Yewen Pu, Jieliang Luo, Hang Chu, Tao Du, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik

Parametric computer-aided design (CAD) is a standard paradigm used to design manufactured objects, where a 3D shape is represented as a program supported by the CAD software.

Program Synthesis

Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Reconstruction

no code implementations28 Sep 2020 Karl Willis, Yewen Pu, Jieliang Luo, Hang Chu, Tao Du, Joseph Lambourne, Armando Solar-Lezama, Wojciech Matusik

We provide a dataset of 8, 625 designs, comprising sequential sketch and extrude modeling operations, together with a complementary environment called the Fusion 360 Gym, to assist with performing CAD reconstruction.

Expressive Telepresence via Modular Codec Avatars

no code implementations ECCV 2020 Hang Chu, Shugao Ma, Fernando de la Torre, Sanja Fidler, Yaser Sheikh

It is important to note that traditional person-specific CAs are learned from few training samples, and typically lack robustness as well as limited expressiveness when transferring facial expressions.

Learning to Generate Diverse Dance Motions with Transformer

no code implementations18 Aug 2020 Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler, Hao Li

We also introduce new evaluation metrics for the quality of synthesized dance motions, and demonstrate that our system can outperform state-of-the-art methods.

motion synthesis

Neural Turtle Graphics for Modeling City Road Layouts

no code implementations ICCV 2019 Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler

We propose Neural Turtle Graphics (NTG), a novel generative model for spatial graphs, and demonstrate its applications in modeling city road layouts.

A Face-to-Face Neural Conversation Model

no code implementations CVPR 2018 Hang Chu, Daiqing Li, Sanja Fidler

The decoder consists of two layers, where the lower layer aims at generating the verbal response and coarse facial expressions, while the second layer fills in the subtle gestures, making the generated output more smooth and natural.

SurfConv: Bridging 3D and 2D Convolution for RGBD Images

1 code implementation CVPR 2018 Hang Chu, Wei-Chiu Ma, Kaustav Kundu, Raquel Urtasun, Sanja Fidler

On the other hand, 3D convolution wastes a large amount of memory on mostly unoccupied 3D space, which consists of only the surface visible to the sensor.

3D Semantic Segmentation

Single Image Intrinsic Decomposition without a Single Intrinsic Image

no code implementations ECCV 2018 Wei-Chiu Ma, Hang Chu, Bolei Zhou, Raquel Urtasun, Antonio Torralba

At inference time, our model can be easily reduced to a single stream module that performs intrinsic decomposition on a single input image.

Intrinsic Image Decomposition

TorontoCity: Seeing the World with a Million Eyes

no code implementations ICCV 2017 Shenlong Wang, Min Bai, Gellert Mattyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun

In this paper we introduce the TorontoCity benchmark, which covers the full greater Toronto area (GTA) with 712. 5 $km^2$ of land, 8439 $km$ of road and around 400, 000 buildings.

Instance Segmentation Semantic Segmentation

You Are Here: Mimicking the Human Thinking Process in Reading Floor-Plans

no code implementations ICCV 2015 Hang Chu, Dong Ki Kim, Tsuhan Chen

A human can easily find his or her way in an unfamiliar building, by walking around and reading the floor-plan.

Accurate Vision-based Vehicle Localization using Satellite Imagery

no code implementations30 Oct 2015 Hang Chu, Hongyuan Mei, Mohit Bansal, Matthew R. Walter

We propose a method for accurately localizing ground vehicles with the aid of satellite imagery.

Visual Localization

A Heat-Map-based Algorithm for Recognizing Group Activities in Videos

no code implementations21 Feb 2015 Weiyao Lin, Hang Chu, Jianxin Wu, Bin Sheng, Zhenzhong Chen

In this paper, a new heat-map-based (HMB) algorithm is proposed for group activity recognition.

Group Activity Recognition

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