Yizhi Wang (็Ž‹้€ธไน‹)

I am a Postdoc Fellow working with Professor Hao (Richard) Zhang in GrUVi Lab at Simon Fraser University (SFU), Canada. I am now working on 3D Shape Reconstruction and Content Creation.

I received my PhD degree from Peking University, where I worked on Computer Vision and Computer Graphics. During my PhD, I was focused on applying deep generative models to analyze and synthesize 2D geometric data (e.g., glyph, font, and layout). I was supervised by Prof. Zhouhui Lian and Prof. Jianguo Xiao.

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I have strong interests in shape synthesis and analysis. Specifically, my researching projects cover the following topics: 3D Reconstruction, Font Generation, Layout Generation, Scene Text (Character) Recognition and Detection, Font Recognition, etc. Representative papers are highlighted.

Slice3D: Multi-Slice, Occlusion-Revealing, Single View 3D Reconstruction
Yizhi Wang, Wallace Lira, Wenqi Wang, Ali Mahdavi-Amiri, Hao (Richard) Zhang,
CVPR, 2024
project page / arXiv / code / video

Our single-view 3D reconstruction method, Slice3D, predicts multi-slice images to reveal occluded parts without changing the camera (in contrast to multi-view synthesis), and then lifts the slices into a 3D model.

EASI-Tex: Edge-Aware Mesh Texturing from Single Image
Sai Raj Kishore Perla, Yizhi Wang, Ali Mahdavi-Amiri, Hao (Richard) Zhang,
ACM Transactions on Graphics (SIGGRAPH Journal-Track), 2024
project page / arXiv / code / video

A novel approach for single-image mesh texturing, which employs diffusion models with judicious conditioning to seamlessly transfer textures.

ARO-Net: Learning Implicit Fields from Anchored Radial Observations
Yizhi Wang*, Zeyu Huang*, Ariel Shamir, Hui Huang, Hao (Richard) Zhang, Ruizhen Hu
CVPR, 2023
project page / arXiv / code / video

A novel shape encoding for learning neural field representation of shapes that is category-agnostic and generalizable amid significant shape variations.

DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion
Maham Tanveer, Yizhi Wang, Ali Mahdavi-Amiri, Hao (Richard) Zhang
ICCV, 2023
project page / arXiv / code

Automatically generate an artistic typography by stylizing one or more letter fonts to visually convey the semantics of an input word.

BRICS: Bi-level feature Representation of Image CollectionS
Dingdong Yang, Yizhi Wang, Ali Mahdavi-Amiri, Hao (Richard) Zhang
Arxiv, 2023
project page / arXiv / code

A bi-levelfeature representation for an imagecollection, consisting of a per-image latent space on top of a multi-scale feature grid space.

DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality
Yuqing Wang, Yizhi Wang, Longhui Yu, Yuesheng Zhu, Zhouhui Lian
CVPR, 2023
project page / arXiv / code

Employing Transformers and a relaxed representation for higher-quality vector font generation (support Chinese glyphs).

Aesthetic Text Logo Synthesis via Content-aware Layout Inferring
Yizhi Wang, Guo Pu, Wenhan Luo, Yexin Wang, Pengfei Xiong, Hongwen Kang, Zhouhui Lian
CVPR, 2022
project page / arXiv / code

A content-aware layout generation network which takes element images and their corresponding content (such as texts) as input and synthesizes aesthetic layouts for them automatically.

DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning
Yizhi Wang, Zhouhui Lian
ACM Transactions on Graphics (SIGGRAPH Asia 2021 Technical Paper), 2021
project page / arXiv / code

Directly synthesize vector fonts via dual-modality learning and differentiable rasterization (rendering), instead of vectorizing synthesized glyph images by rule-based methods.

Attribute2Font: Creating Fonts You Want From Attributes
Yizhi Wang*, Yue Gao*, Zhouhui Lian
ACM Transactions on Graphics (SIGGRAPH 2020 Technical Paper), 2020
project page / arXiv / code

Automatically synthesize fonts according to user-specified attributes (such as italic, serif, cursive, and angularity) and their corresponding values.

Exploring Font-independent Features for Scene Text Recognition
Yizhi Wang, Zhouhui Lian
ACM Multimedia, 2020
project page / arXiv / code

Address the challenge of font variance in STR and propose a font-independent feature representation method to increase the robustness of STR models.

Font Recognition in Natural Images via Transfer Learning
Yizhi Wang, Zhouhui Lian
MMM, 2018
project page / paper / dataset

Accurately recognize the font styles of texts in natural images by proposing a novel method based on deep learning and transfer learning.

Invited Talks
  • 07/2022 I was invited to give a talk (in Chinese) by CSIG (China Society of Image and Graphics).
Merit Student, Peking University. 2018, 2021
Excellent Student, Wangxuan Insitute of Peking University. 2020, 2021
CETC The 14TH Research Institute Glarun Scholarship, Peking University. 2018
Excellent Award, The 17th Programming Contest of Peking University. 2018

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