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20182021
most citedUPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data

42 citations · 168 across the 15 of their papers we have counts for

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Showing 2019Show all

9 papers · 1 filter

cs.CV2019★ 10 cited

DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration

Nianjin Ye, Chuan Wang, Shuaicheng Liu +3

Image alignment by mesh warps, such as meshflow, is a fundamental task which has been widely applied in various vision applications(e.g., multi-frame HDR/denoising, video stabiliza…

cs.CV2019★ 8 cited

Disentangled Image Matting

Shaofan Cai, Xiaoshuai Zhang, Haoqiang Fan +6

Most previous image matting methods require a roughly-specificed trimap as input, and estimate fractional alpha values for all pixels that are in the unknown region of the trimap.…

cs.CV2019★ 23 cited

Content-Aware Unsupervised Deep Homography Estimation

Jirong Zhang, Chuan Wang, Shuaicheng Liu +5

Homography estimation is a basic image alignment method in many applications. It is usually conducted by extracting and matching sparse feature points, which are error-prone in low…

cs.CV2019★ 5 cited

Semi-supervised Skin Detection by Network with Mutual Guidance

Yi He, Jiayuan Shi, Chuan Wang +5

In this paper we present a new data-driven method for robust skin detection from a single human portrait image. Unlike previous methods, we incorporate human body as a weak semanti…

cs.CV2019★ 14 cited

Frame-Recurrent Video Inpainting by Robust Optical Flow Inference

Yifan Ding, Chuan Wang, Haibin Huang +3

In this paper, we present a new inpainting framework for recovering missing regions of video frames. Compared with image inpainting, performing this task on video presents new chal…

cs.CV2019★ 5 cited

Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation

Jiaming Liu, Chi-Hao Wu, Yuzhi Wang +8

In this paper, we present new data pre-processing and augmentation techniques for DNN-based raw image denoising. Compared with traditional RGB image denoising, performing this task…