99 citations · 181 across the 19 of their papers we have counts for
19 papers · 1 filter
DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality
Yuqing Wang, Yizhi Wang, Longhui Yu +2
Vector font synthesis is a challenging and ongoing problem in the fields of Computer Vision and Computer Graphics. The recently-proposed DeepVecFont achieved state-of-the-art perfo…
VecFontSDF: Learning to Reconstruct and Synthesize High-quality Vector Fonts via Signed Distance Functions
Zeqing Xia, Bojun Xiong, Zhouhui Lian
Font design is of vital importance in the digital content design and modern printing industry. Developing algorithms capable of automatically synthesizing vector fonts can signific…
FontTransformer: Few-shot High-resolution Chinese Glyph Image Synthesis via Stacked Transformers
Yitian Liu, Zhouhui Lian
Automatic generation of high-quality Chinese fonts from a few online training samples is a challenging task, especially when the amount of samples is very small. Existing few-shot…
DifferSketching: How Differently Do People Sketch 3D Objects?
Chufeng Xiao, Wanchao Su, Jing Liao +3
Multiple sketch datasets have been proposed to understand how people draw 3D objects. However, such datasets are often of small scale and cover a small set of objects or categories…
DCT-Net: Domain-Calibrated Translation for Portrait Stylization
Yifang Men, Yuan Yao, Miaomiao Cui +2
This paper introduces DCT-Net, a novel image translation architecture for few-shot portrait stylization. Given limited style exemplars (100), the new architecture can produce…
Aesthetic Text Logo Synthesis via Content-aware Layout Inferring
Yizhi Wang, Guo Pu, Wenhan Luo +4
Text logo design heavily relies on the creativity and expertise of professional designers, in which arranging element layouts is one of the most important procedures. However, few…
DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning
Yizhi Wang, Zhouhui Lian
Automatic font generation based on deep learning has aroused a lot of interest in the last decade. However, only a few recently-reported approaches are capable of directly generati…
Bidirectional Regression for Arbitrary-Shaped Text Detection
Tao Sheng, Zhouhui Lian
Arbitrary-shaped text detection has recently attracted increasing interests and witnessed rapid development with the popularity of deep learning algorithms. Nevertheless, existing…
CentripetalText: An Efficient Text Instance Representation for Scene Text Detection
Tao Sheng, Jie Chen, Zhouhui Lian
Scene text detection remains a grand challenge due to the variation in text curvatures, orientations, and aspect ratios. One of the hardest problems in this task is how to represen…
High-Fidelity and Arbitrary Face Editing
Yue Gao, Fangyun Wei, Jianmin Bao +4
Cycle consistency is widely used for face editing. However, we observe that the generator tends to find a tricky way to hide information from the original image to satisfy the cons…
Exploring Font-independent Features for Scene Text Recognition
Yizhi Wang, Zhouhui Lian
Scene text recognition (STR) has been extensively studied in last few years. Many recently-proposed methods are specially designed to accommodate the arbitrary shape, layout and or…
Attribute2Font: Creating Fonts You Want From Attributes
Yizhi Wang, Yue Gao, Zhouhui Lian
Font design is now still considered as an exclusive privilege of professional designers, whose creativity is not possessed by existing software systems. Nevertheless, we also notic…
Controllable Person Image Synthesis with Attribute-Decomposed GAN
Yifang Men, Yiming Mao, Yuning Jiang +2
This paper introduces the Attribute-Decomposed GAN, a novel generative model for controllable person image synthesis, which can produce realistic person images with desired human a…
Shape retrieval of non-rigid 3d human models
David Pickup, Xianfang Sun, Paul L Rosin +28
3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. We extend…
SRINet: Learning Strictly Rotation-Invariant Representations for Point Cloud Classification and Segmentation
Xiao Sun, Zhouhui Lian, Jianguo Xiao
Point cloud analysis has drawn broader attentions due to its increasing demands in various fields. Despite the impressive performance has been achieved on several databases, resear…
Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning
Yue Gao, Yuan Guo, Zhouhui Lian +2
Automatic generation of artistic glyph images is a challenging task that attracts many research interests. Previous methods either are specifically designed for shape synthesis or…
Boosting Scene Character Recognition by Learning Canonical Forms of Glyphs
Yizhi Wang, Zhouhui Lian, Yingmin Tang +1
As one of the fundamental problems in document analysis, scene character recognition has attracted considerable interests in recent years. But the problem is still considered to be…
Awesome Typography: Statistics-Based Text Effects Transfer
Shuai Yang, Jiaying Liu, Zhouhui Lian +1
In this work, we explore the problem of generating fantastic special-effects for the typography. It is quite challenging due to the model diversities to illustrate varied text effe…
Benchmarks, Performance Evaluation and Contests for 3D Shape Retrieval
Afzal Godil, Zhouhui Lian, Helin Dutagaci +3
Benchmarking of 3D Shape retrieval allows developers and researchers to compare the strengths of different algorithms on a standard dataset. Here we describe the procedures involve…