Search Results for author: Li-Wen Wang

Found 12 papers, 10 papers with code

SiPRNet: End-to-End Learning for Single-Shot Phase Retrieval

1 code implementation23 May 2022 Qiuliang Ye, Li-Wen Wang, Daniel P. K. Lun

In this paper, we design a novel CNN structure, named SiPRNet, to recover a signal from a single Fourier intensity measurement.

Image Reconstruction

Name Your Style: An Arbitrary Artist-aware Image Style Transfer

1 code implementation28 Feb 2022 Zhi-Song Liu, Li-Wen Wang, Wan-Chi Siu, Vicky Kalogeiton

Moreover, it can mimic the styles of one or many artists to achieve attractive results, thus highlighting a promising direction in image style transfer.

Style Transfer

Variational AutoEncoder for Reference based Image Super-Resolution

1 code implementation8 Jun 2021 Zhi-Song Liu, Wan-Chi Siu, Li-Wen Wang

In this paper, we propose a novel reference based image super-resolution approach via Variational AutoEncoder (RefVAE).

Image Super-Resolution SSIM

Bone Feature Segmentation in Ultrasound Spine Image with Robustness to Speckle and Regular Occlusion Noise

no code implementations8 Oct 2020 Zixun Huang, Li-Wen Wang, Frank H. F. Leung, Sunetra Banerjee, De Yang, Timothy Lee, Juan Lyu, Sai Ho Ling, Yong-Ping Zheng

In this paper, we propose a robust bone feature segmentation method based on the U-net structure for ultrasound spine Volume Projection Imaging (VPI) images.

Deep Relighting Networks for Image Light Source Manipulation

1 code implementation19 Aug 2020 Li-Wen Wang, Wan-Chi Siu, Zhi-Song Liu, Chu-Tak Li, Daniel P. K. Lun

Manipulating the light source of given images is an interesting task and useful in various applications, including photography and cinematography.

Image Relighting

DeepGIN: Deep Generative Inpainting Network for Extreme Image Inpainting

1 code implementation17 Aug 2020 Chu-Tak Li, Wan-Chi Siu, Zhi-Song Liu, Li-Wen Wang, Daniel Pak-Kong Lun

Existing image inpainting approaches usually encounter difficulties in completing the missing parts in the wild with pleasing visual and contextual results as they are trained for either dealing with one specific type of missing patterns (mask) or unilaterally assuming the shapes and/or sizes of the masked areas.

Image Inpainting

Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder

1 code implementation27 Apr 2020 Zhi-Song Liu, Wan-Chi Siu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Yui-Lam Chan

Depending upon whether using a discriminator or not, a deep convolutional neural network can provide an image with high fidelity or better perceptual quality.

Image Denoising Image Super-Resolution

Image Super-Resolution via Attention based Back Projection Networks

2 code implementations10 Oct 2019 Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan

In this paper, we propose an Attention based Back Projection Network (ABPN) for image super-resolution.

Image Super-Resolution

Hierarchical Back Projection Network for Image Super-Resolution

1 code implementation17 Jun 2019 Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu

We propose a Hierarchical Back Projection Network (HBPN), that cascades multiple HourGlass (HG) modules to bottom-up and top-down process features across all scales to capture various spatial correlations and then consolidates the best representation for reconstruction.

Image Super-Resolution

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