Search Results for author: Xinyuan Chen

Found 8 papers, 3 papers with code

DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation

no code implementations30 Dec 2022 Xinyuan Chen, Yangchen Xie, Li Sun, Yue Lu

Moreover, we introduce contrastive self-supervised learning to learn a robust style representation for fonts by understanding the similarity and dissimilarities of fonts.

Font Generation Self-Supervised Learning +1

Diff-Font: Diffusion Model for Robust One-Shot Font Generation

no code implementations12 Dec 2022 Haibin He, Xinyuan Chen, Chaoyue Wang, Juhua Liu, Bo Du, DaCheng Tao, Yu Qiao

Specifically, a large stroke-wise dataset is constructed, and a stroke-wise diffusion model is proposed to preserve the structure and the completion of each generated character.

Font Generation

OCR-RTPS: An OCR-based real-time positioning system for the valet parking

no code implementations8 Dec 2022 Zizhang Wu, Xinyuan Chen, Jizheng Wang, Xiaoquan Wang, Yuanzhu Gan, Muqing Fang, Tianhao Xu

Obtaining the position of ego-vehicle is a crucial prerequisite for automatic control and path planning in the field of autonomous driving.

Autonomous Driving Optical Character Recognition (OCR)

Cross Attention Based Style Distribution for Controllable Person Image Synthesis

1 code implementation1 Aug 2022 Xinyue Zhou, Mingyu Yin, Xinyuan Chen, Li Sun, Changxin Gao, Qingli Li

In this paper, we propose a cross attention based style distribution module that computes between the source semantic styles and target pose for pose transfer.

Pose Transfer Virtual Try-on

DG-Font: Deformable Generative Networks for Unsupervised Font Generation

1 code implementation CVPR 2021 Yangchen Xie, Xinyuan Chen, Li Sun, Yue Lu

Font generation is a challenging problem especially for some writing systems that consist of a large number of characters and has attracted a lot of attention in recent years.

Font Generation Image-to-Image Translation

Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer

2 code implementations4 Apr 2019 Xinyuan Chen, Chang Xu, Xiaokang Yang, Li Song, DaCheng Tao

We propose adversarial gated networks (Gated GAN) to transfer multiple styles in a single model.

Style Transfer

S-OHEM: Stratified Online Hard Example Mining for Object Detection

no code implementations5 May 2017 Minne Li, Zhaoning Zhang, Hao Yu, Xinyuan Chen, Dongsheng Li

S-OHEM exploits OHEM with stratified sampling, a widely-adopted sampling technique, to choose the training examples according to this influence during hard example mining, and thus enhance the performance of object detectors.

object-detection Object Detection

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