no code implementations • CVPR 2024 • Wenjing Wang, Huan Yang, Jianlong Fu, Jiaying Liu
This prior serves as the bridge between normal and low-light images.
no code implementations • 23 Jan 2024 • Yuhang Zhang, Yue Yao, Xuannan Liu, Lixiong Qin, Wenjing Wang, Weihong Deng
Facial expression recognition (FER) models are typically trained on datasets with a fixed number of seven basic classes.
Facial Expression Recognition Facial Expression Recognition (FER) +1
no code implementations • 31 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.
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.
no code implementations • 12 Jun 2023 • Junchen Zhu, Huan Yang, Huiguo He, Wenjing Wang, Zixi Tuo, Wen-Huang Cheng, Lianli Gao, Jingkuan Song, Jianlong Fu
To generate videos, we extend the capabilities of a pretrained text-to-image diffusion model through a two-stage process.
1 code implementation • 18 May 2023 • Wenjing Wang, Huan Yang, Zixi Tuo, Huiguo He, Junchen Zhu, Jianlong Fu, Jiaying Liu
Moreover, to fully unlock model capabilities for high-quality video generation and promote the development of the field, we curate a large-scale and open-source video dataset called HD-VG-130M.
Ranked #1 on Text-to-Video Generation on WebVid
no code implementations • 16 Mar 2023 • Yiyang Ma, Huan Yang, Wenjing Wang, Jianlong Fu, Jiaying Liu
Language-guided image generation has achieved great success nowadays by using diffusion models.
no code implementations • 7 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.
no code implementations • 4 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.
no code implementations • 5 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.
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.
1 code implementation • 23 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.
no code implementations • 3 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.
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.
no code implementations • 8 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.
no code implementations • 16 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.
3 code implementations • 14 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.