Search Results for author: Song-Hai Zhang

Found 13 papers, 6 papers with code

NeRFReN: Neural Radiance Fields with Reflections

no code implementations30 Nov 2021 Yuan-Chen Guo, Di Kang, Linchao Bao, Yu He, Song-Hai Zhang

Specifically, we propose to split a scene into transmitted and reflected components, and model the two components with separate neural radiance fields.

Depth Estimation Novel View Synthesis

Deep Image Synthesis from Intuitive User Input: A Review and Perspectives

no code implementations9 Jul 2021 Yuan Xue, Yuan-Chen Guo, Han Zhang, Tao Xu, Song-Hai Zhang, Xiaolei Huang

In many applications of computer graphics, art and design, it is desirable for a user to provide intuitive non-image input, such as text, sketch, stroke, graph or layout, and have a computer system automatically generate photo-realistic images that adhere to the input content.

Image Generation Image Retrieval

Learning Implicit Glyph Shape Representation

no code implementations16 Jun 2021 Ying-Tian Liu, Yuan-Chen Guo, Yi-Xiao Li, Chen Wang, Song-Hai Zhang

In this paper, we present a novel implicit glyph shape representation, which models glyphs as shape primitives enclosed by quadratic curves, and naturally enables generating glyph images at arbitrary high resolutions.

Font Style Transfer Vector Graphics

TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields

1 code implementation25 May 2021 Tian-Xing Xu, Yuan-Chen Guo, Yu-Kun Lai, Song-Hai Zhang

We argue that fixed receptive fields are not well suited for place recognition, and propose a novel Adaptive Receptive Field Module (ARFM), which can adaptively adjust the size of the receptive field based on the input point cloud.

Autonomous Driving Robot Navigation

Sketch2Model: View-Aware 3D Modeling from Single Free-Hand Sketches

no code implementations CVPR 2021 Song-Hai Zhang, Yuan-Chen Guo, Qing-Wen Gu

We investigate the problem of generating 3D meshes from single free-hand sketches, aiming at fast 3D modeling for novice users.

A new dataset of dog breed images and a benchmark for fine-grained classification

1 code implementation1 Oct 2020 Ding-Nan Zo, Song-Hai Zhang, Tai-Jiang M, Min Zhang

It is currently the largest dataset for fine-grained classification of dogs, including130 dog breeds and 70, 428 real-world images.

Classification Fine-Grained Image Classification +2

Example-Guided Style Consistent Image Synthesis from Semantic Labeling

1 code implementation4 Jun 2019 Miao Wang, Guo-Ye Yang, Rui-Long Li, Run-Ze Liang, Song-Hai Zhang, Peter. M. Hall, Shi-Min Hu

Example-guided image synthesis aims to synthesize an image from a semantic label map and an exemplary image indicating style.

Image Generation Scene Segmentation

What and Where: A Context-based Recommendation System for Object Insertion

no code implementations24 Nov 2018 Song-Hai Zhang, Zhengping Zhou, Bin Liu, Xin Dong, Dun Liang, Peter Hall, Shi-Min Hu

In this work, we propose a novel topic consisting of two dual tasks: 1) given a scene, recommend objects to insert, 2) given an object category, retrieve suitable background scenes.

Pose2Seg: Detection Free Human Instance Segmentation

6 code implementations CVPR 2019 Song-Hai Zhang, Rui-Long Li, Xin Dong, Paul L. Rosin, Zixi Cai, Han Xi, Dingcheng Yang, Hao-Zhi Huang, Shi-Min Hu

We demonstrate that our pose-based framework can achieve better accuracy than the state-of-art detection-based approach on the human instance segmentation problem, and can moreover better handle occlusion.

Human Instance Segmentation Object Detection +1

Deep Online Video Stabilization

3 code implementations22 Feb 2018 Miao Wang, Guo-Ye Yang, Jin-Kun Lin, Ariel Shamir, Song-Hai Zhang, Shao-Ping Lu, Shi-Min Hu

In this paper, we solve the video stabilization problem using a convolutional neural network (ConvNet).


A Comparative Study of Algorithms for Realtime Panoramic Video Blending

no code implementations1 Jun 2016 Zhe Zhu, Jiaming Lu, Minxuan Wang, Song-Hai Zhang, Ralph Martin, Hantao Liu, Shi-Min Hu

In this paper, we investigate 6 popular blending algorithms---feather blending, multi-band blending, modified Poisson blending, mean value coordinate blending, multi-spline blending and convolution pyramid blending.

Virtual Reality

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