Search Results for author: Jingwei Huang

Found 21 papers, 15 papers with code

Reinforcement learning for automatic quadrilateral mesh generation: a soft actor-critic approach

no code implementations19 Mar 2022 Jie Pan, Jingwei Huang, Gengdong Cheng, Yong Zeng

This paper proposes, implements, and evaluates a Reinforcement Learning (RL) based computational framework for automatic mesh generation.

reinforcement-learning

MVLayoutNet:3D layout reconstruction with multi-view panoramas

no code implementations12 Dec 2021 Zhihua Hu, Bo Duan, Yanfeng Zhang, Mingwei Sun, Jingwei Huang

We jointly train a layout module to produce an initial layout and a novel MVS module to obtain accurate layout geometry.

3D Reconstruction

Intelligent Agent for Hurricane Emergency Identification and Text Information Extraction from Streaming Social Media Big Data

no code implementations14 Jun 2021 Jingwei Huang, Wael Khallouli, Ghaith Rabadi, Mamadou Seck

This paper presents our research on leveraging social media Big Data and AI to support hurricane disaster emergency response.

ShapeFlow: Learnable Deformation Flows Among 3D Shapes

no code implementations NeurIPS 2020 Chiyu Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas J. Guibas

Such a space naturally allows the disentanglement of geometric style (coming from the source) and structural pose (conforming to the target).

Disentanglement Style Transfer

ShapeFlow: Learnable Deformations Among 3D Shapes

1 code implementation14 Jun 2020 Chiyu "Max" Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas Guibas

We illustrate the effectiveness of this learned deformation space for various downstream applications, including shape generation via deformation, geometric style transfer, unsupervised learning of a consistent parameterization for entire classes of shapes, and shape interpolation.

Disentanglement Style Transfer

MeshODE: A Robust and Scalable Framework for Mesh Deformation

1 code implementation23 May 2020 Jingwei Huang, Chiyu Max Jiang, Baiqiang Leng, Bin Wang, Leonidas Guibas

Given a pair of shapes, our framework provides a novel shape feature-preserving mapping function that continuously deforms one model to the other by minimizing fitting and rigidity losses based on the non-rigid iterative-closest-point (ICP) algorithm.

Graphics Computational Geometry

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

Local Implicit Grid Representations for 3D Scenes

no code implementations19 Mar 2020 Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas Funkhouser

Then, we use the decoder as a component in a shape optimization that solves for a set of latent codes on a regular grid of overlapping crops such that an interpolation of the decoded local shapes matches a partial or noisy observation.

3D Shape Representation Surface Reconstruction

Adversarial Texture Optimization from RGB-D Scans

1 code implementation CVPR 2020 Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas Guibas, Matthias Nießner, Thomas Funkhouser

In this work, we present a novel approach for color texture generation using a conditional adversarial loss obtained from weakly-supervised views.

Surface Reconstruction Texture Synthesis

NeurVPS: Neural Vanishing Point Scanning via Conic Convolution

1 code implementation NeurIPS 2019 Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma

We present a simple yet effective end-to-end trainable deep network with geometry-inspired convolutional operators for detecting vanishing points in images.

FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image

1 code implementation ICCV 2019 Jingwei Huang, Yichao Zhou, Thomas Funkhouser, Leonidas Guibas

In this work, we introduce the novel problem of identifying dense canonical 3D coordinate frames from a single RGB image.

Frame

Spherical CNNs on Unstructured Grids

1 code implementation ICLR 2019 Chiyu "Max" Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Niessner

We present an efficient convolution kernel for Convolutional Neural Networks (CNNs) on unstructured grids using parameterized differential operators while focusing on spherical signals such as panorama images or planetary signals.

Semantic Segmentation

TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes

1 code implementation CVPR 2019 Jingwei Huang, Haotian Zhang, Li Yi, Thomas Funkhouser, Matthias Nießner, Leonidas Guibas

We introduce, TextureNet, a neural network architecture designed to extract features from high-resolution signals associated with 3D surface meshes (e. g., color texture maps).

3D Semantic Segmentation

Robust Watertight Manifold Surface Generation Method for ShapeNet Models

2 code implementations5 Feb 2018 Jingwei Huang, Hao Su, Leonidas Guibas

In this paper, we describe a robust algorithm for 2-Manifold generation of various kinds of ShapeNet Models.

Computational Geometry

Automatic Thumbnail Generation Based on Visual Representativeness and Foreground Recognizability

no code implementations ICCV 2015 Jingwei Huang, Huarong Chen, Bin Wang, Stephen Lin

We present an automatic thumbnail generation technique based on two essential considerations: how well they visually represent the original photograph, and how well the foreground can be recognized after the cropping and downsizing steps of thumbnailing.

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