Search Results for author: Yan Niu

Found 6 papers, 1 papers with code

Toward Moiré-Free and Detail-Preserving Demosaicking

no code implementations15 May 2023 Xuanchen Li, Yan Niu, Bo Zhao, Haoyuan Shi, Zitong An

In both applications, our model substantially alleviates artifacts such as Moir\'e and over-smoothness at similar or lower computational cost to currently top-performing models, as validated by diverse evaluations.

Demosaicking Denoising +1

Multi-Exposure HDR Composition by Gated Swin Transformer

no code implementations15 Mar 2023 Rui Zhou, Yan Niu

Fusing a sequence of perfectly aligned images captured at various exposures, has shown great potential to approach High Dynamic Range (HDR) imaging by sensors with limited dynamic range.

feature selection Image Generation

CGCV:Context Guided Correlation Volume for Optical Flow Neural Networks

no code implementations20 Dec 2022 Jiangpeng Li, Yan Niu

In this paper, we first investigate the functionality of RAFT's context encoder, then propose a new Context Guided Correlation Volume (CGCV) via gating and lifting schemes.

Motion Estimation Optical Flow Estimation

Light Weight Color Image Warping with Inter-Channel Information

no code implementations19 Dec 2018 Chuangye Zhang, Yan Niu, Tieru Wu, Xi-Ming Li

Image warping is a necessary step in many multimedia applications such as texture mapping, image-based rendering, panorama stitching, image resizing and optical flow computation etc.

Optical Flow Estimation

Low Cost Edge Sensing for High Quality Demosaicking

1 code implementation3 Jun 2018 Yan Niu, Jihong Ouyang, Wanli Zuo, Fuxin Wang

Compared to methods of similar computational cost, our method achieves substantially higher accuracy, Whereas compared to methods of similar accuracy, our method has significantly lower cost.

Demosaicking Vocal Bursts Intensity Prediction

Dual Domain Filters Based Texture and Structure Preserving Image Non-Blind Deconvolution

no code implementations CVPR 2015 Hang Yang, Ming Zhu, Yan Niu, Yujing Guan, Zhongbo Zhang

Image deconvolution continues to be an active research topic of recovering a sharp image, given a blurry one generated by a convolution.

Deblurring Image Deconvolution

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