16 citations · 23 across the 8 of their papers we have counts for
8 papers
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…
DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion
Maham Tanveer, Yizhi Wang, Ali Mahdavi-Amiri +1
We introduce a novel method to automatically generate an artistic typography by stylizing one or more letter fonts to visually convey the semantics of an input word, while ensuring…
ARO-Net: Learning Implicit Fields from Anchored Radial Observations
Yizhi Wang, Zeyu Huang, Ariel Shamir +3
We introduce anchored radial observations (ARO), a novel shape encoding for learning implicit field representation of 3D shapes that is category-agnostic and generalizable amid sig…
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…
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…
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…