Search Results for author: Wenjing Wang

Found 15 papers, 3 papers with code

MobileVidFactory: Automatic Diffusion-Based Social Media Video Generation for Mobile Devices from Text

no code implementations31 Jul 2023 Junchen Zhu, Huan Yang, Wenjing Wang, Huiguo He, Zixi Tuo, Yongsheng Yu, Wen-Huang Cheng, Lianli Gao, Jingkuan Song, Jianlong Fu, Jiebo Luo

In the basic generation, we take advantage of the pretrained image diffusion model, and adapt it to a high-quality open-domain vertical video generator for mobile devices.

Video Generation

Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation

no code implementations ICCV 2023 Rundong Luo, Wenjing Wang, Wenhan Yang, Jiaying Liu

Low-light conditions not only hamper human visual experience but also degrade the model's performance on downstream vision tasks.

Action Recognition Domain Adaptation +3

Self-Aligned Concave Curve: Illumination Enhancement for Unsupervised Adaptation

no code implementations7 Oct 2022 Wenjing Wang, Zhengbo Xu, Haofeng Huang, Jiaying Liu

Low light conditions not only degrade human visual experience, but also reduce the performance of downstream machine analytics.

Action Recognition Optical Flow Estimation

S$^{5}$Mars: Semi-Supervised Learning for Mars Semantic Segmentation

no code implementations4 Jul 2022 Jiahang Zhang, Lilang Lin, Zejia Fan, Wenjing Wang, Jiaying Liu

We first present a newdataset S5Mars for Semi-SuperviSed learning on Mars Semantic Segmentation, which contains 6K high-resolution images and is sparsely annotated based on confidence, ensuring the high quality of labels.

Representation Learning Segmentation +2

Semi-Supervised Learning for Mars Imagery Classification and Segmentation

no code implementations5 Jun 2022 Wenjing Wang, Lilang Lin, Zejia Fan, Jiaying Liu

For segmentation, we extend supervised inter-class contrastive learning into an element-wise mode and use online pseudo labels for supervision on unlabeled areas.

Classification Contrastive Learning +2

HLA-Face: Joint High-Low Adaptation for Low Light Face Detection

1 code implementation CVPR 2021 Wenjing Wang, Wenhan Yang, Jiaying Liu

To reduce the burden of building new datasets for low light conditions, we make full use of existing normal light data and explore how to adapt face detectors from normal light to low light.

Autonomous Driving Face Detection +1

Consistent Video Style Transfer via Relaxation and Regularization

1 code implementation23 Sep 2020 Wenjing Wang, Shuai Yang, Jizheng Xu, Jiaying Liu

In this article, we address the problem by jointly considering the intrinsic properties of stylization and temporal consistency.

Style Transfer Video Style Transfer

From Design Draft to Real Attire: Unaligned Fashion Image Translation

no code implementations3 Aug 2020 Yu Han, Shuai Yang, Wenjing Wang, Jiaying Liu

Moreover, built upon the sampling network, we present design draft to real fashion item translation network (D2RNet), where two separate translation streams that focus on texture and shape, respectively, are combined tactfully to get both benefits.


Typography With Decor: Intelligent Text Style Transfer

no code implementations CVPR 2019 Wenjing Wang, Jiaying Liu, Shuai Yang, Zongming Guo

The stylized text is finally embellished with decor where the placement of the decor is carefully determined by a novel structure-aware strategy.

Domain Adaptation Style Transfer +2

TE141K: Artistic Text Benchmark for Text Effect Transfer

no code implementations8 May 2019 Shuai Yang, Wenjing Wang, Jiaying Liu

To the best of our knowledge, this is the largest dataset for text effect transfer to date.

Style Transfer Text Effects Transfer

TET-GAN: Text Effects Transfer via Stylization and Destylization

no code implementations16 Dec 2018 Shuai Yang, Jiaying Liu, Wenjing Wang, Zongming Guo

The key idea is to train our network to accomplish both the objective of style transfer and style removal, so that it can learn to disentangle and recombine the content and style features of text effects images.

One-Shot Learning Style Transfer +1

Deep Retinex Decomposition for Low-Light Enhancement

3 code implementations14 Aug 2018 Chen Wei, Wenjing Wang, Wenhan Yang, Jiaying Liu

Based on the decomposition, subsequent lightness enhancement is conducted on illumination by an enhancement network called Enhance-Net, and for joint denoising there is a denoising operation on reflectance.

Denoising Low-Light Image Enhancement

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