activity
20182021
most citedSmart Scribbles for Image Mating

24 citations · 34 across the 3 of their papers we have counts for

collaborators

8 papers

cs.CV202124 cited

Smart Scribbles for Image Mating

Xin Yang, Yu Qiao, Shaozhe Chen +5

Image matting is an ill-posed problem that usually requires additional user input, such as trimaps or scribbles. Drawing a fne trimap requires a large amount of user effort, while…

cs.CV20218 cited

Multi-scale Information Assembly for Image Matting

Yu Qiao, Yuhao Liu, Qiang Zhu +4

Image matting is a long-standing problem in computer graphics and vision, mostly identified as the accurate estimation of the foreground in input images. We argue that the foregrou…

cs.CV20212 cited

Automatic Comic Generation with Stylistic Multi-page Layouts and Emotion-driven Text Balloon Generation

Xin Yang, Zongliang Ma, Letian Yu +5

In this paper, we propose a fully automatic system for generating comic books from videos without any human intervention. Given an input video along with its subtitles, our approac…

cs.CV2019

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors

Xin Yang, Haiyang Mei, Jiqing Zhang +4

Recently, single-image super-resolution has made great progress owing to the development of deep convolutional neural networks (CNNs). The vast majority of CNN-based models use a p…

cs.MM2019

DEMC: A Deep Dual-Encoder Network for Denoising Monte Carlo Rendering

Xin Yang, Wenbo Hu, Dawei Wang +5

In this paper, we present DEMC, a deep Dual-Encoder network to remove Monte Carlo noise efficiently while preserving details. Denoising Monte Carlo rendering is different from natu…

cs.CV2019

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset

Tianyu Wang, Xin Yang, Ke Xu +3

Removing rain streaks from a single image has been drawing considerable attention as rain streaks can severely degrade the image quality and affect the performance of existing outd…