47 citations · 82 across the 4 of their papers we have counts for
11 papers
Fine-Grained Image Style Transfer with Visual Transformers
Jianbo Wang, Huan Yang, Jianlong Fu +2
With the development of the convolutional neural network, image style transfer has drawn increasing attention. However, most existing approaches adopt a global feature transformati…
AI Illustrator: Translating Raw Descriptions into Images by Prompt-based Cross-Modal Generation
Yiyang Ma, Huan Yang, Bei Liu +2
AI illustrator aims to automatically design visually appealing images for books to provoke rich thoughts and emotions. To achieve this goal, we propose a framework for translating…
4D LUT: Learnable Context-Aware 4D Lookup Table for Image Enhancement
Chengxu Liu, Huan Yang, Jianlong Fu +1
Image enhancement aims at improving the aesthetic visual quality of photos by retouching the color and tone, and is an essential technology for professional digital photography. Re…
Learning Trajectory-Aware Transformer for Video Super-Resolution
Chengxu Liu, Huan Yang, Jianlong Fu +1
Video super-resolution (VSR) aims to restore a sequence of high-resolution (HR) frames from their low-resolution (LR) counterparts. Although some progress has been made, there are…
Learning Fine-Grained Motion Embedding for Landscape Animation
Hongwei Xue, Bei Liu, Huan Yang +3
In this paper we focus on landscape animation, which aims to generate time-lapse videos from a single landscape image. Motion is crucial for landscape animation as it determines ho…
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment
Heliang Zheng, Huan Yang, Jianlong Fu +2
An important scenario for image quality assessment (IQA) is to evaluate image restoration (IR) algorithms. The state-of-the-art approaches adopt a full-reference paradigm that comp…