Publications (18)
MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance
Yuang Zhang, Jiaxi Gu, Li-Wen Wang +4
In recent years, generative artificial intelligence has achieved significant advancements in the field of image generation, spawning a variety of applications. However, video gener…
A versatile framework for attitude tuning of beamlines at advanced light sources
Peng-Cheng Li, Xiao-Xue Bi, Zhen Zhang +7
Aside from regular beamline experiments at light sources, the preparation steps before these experiments are also worth systematic consideration in terms of automation; a represent…
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Pengxu Wei, Hannan Lu, Radu Timofte +68
This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This ch…
Multiple-level Green Noise Mask Design for Practical Fourier Phase Retrieval
Qiuliang Ye, Bingo Wing-Kuen Ling, Li-Wen Wang +1
Phase retrieval, a long-established challenge for recovering a complex-valued signal from its Fourier intensity measurements, has attracted significant interest because of its far-…
Bridging Text and Image for Artist Style Transfer via Contrastive Learning
Zhi-Song Liu, Li-Wen Wang, Jun Xiao +1
Image style transfer has attracted widespread attention in the past few years. Despite its remarkable results, it requires additional style images available as references, making i…
AIM 2020: Scene Relighting and Illumination Estimation Challenge
Majed El Helou, Ruofan Zhou, Sabine Süsstrunk +34
We review the AIM 2020 challenge on virtual image relighting and illumination estimation. This paper presents the novel VIDIT dataset used in the challenge and the different propos…
Bone Feature Segmentation in Ultrasound Spine Image with Robustness to Speckle and Regular Occlusion Noise
Zixun Huang, Li-Wen Wang, Frank H. F. Leung +6
3D ultrasound imaging shows great promise for scoliosis diagnosis thanks to its low-costing, radiation-free and real-time characteristics. The key to accessing scoliosis by ultraso…
Name Your Style: An Arbitrary Artist-aware Image Style Transfer
Zhi-Song Liu, Li-Wen Wang, Wan-Chi Siu +1
Image style transfer has attracted widespread attention in the past few years. Despite its remarkable results, it requires additional style images available as references, making i…
Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder
Zhi-Song Liu, Wan-Chi Siu, Li-Wen Wang +3
Benefited from the deep learning, image Super-Resolution has been one of the most developing research fields in computer vision. Depending upon whether using a discriminator or not…
Hierarchical Back Projection Network for Image Super-Resolution
Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li +1
Deep learning based single image super-resolution methods use a large number of training datasets and have recently achieved great quality progress both quantitatively and qualitat…
DeepGIN: Deep Generative Inpainting Network for Extreme Image Inpainting
Chu-Tak Li, Wan-Chi Siu, Zhi-Song Liu +2
The degree of difficulty in image inpainting depends on the types and sizes of the missing parts. Existing image inpainting approaches usually encounter difficulties in completing…
Towards Practical Single-shot Phase Retrieval with Physics-Driven Deep Neural Network
Qiuliang Ye, Li-Wen Wang, Daniel Pak-Kong Lun
Phase retrieval (PR), a long-established challenge for recovering a complex-valued signal from its Fourier intensity-only measurements, has attracted considerable attention due to…
Variational AutoEncoder for Reference based Image Super-Resolution
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). Existing state-of-the-art methods mainly focus on single ima…
SiSPRNet: End-to-End Learning for Single-Shot Phase Retrieval
Qiuliang Ye, Li-Wen Wang, Daniel P. K. Lun
With the success of deep learning methods in many image processing tasks, deep learning approaches have also been introduced to the phase retrieval problem recently. These approach…
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
Anjany Sekuboyina, Malek E. Husseini, Amirhossein Bayat +66
Vertebral labelling and segmentation are two fundamental tasks in an automated spine processing pipeline. Reliable and accurate processing of spine images is expected to benefit cl…
Deep Relighting Networks for Image Light Source Manipulation
Li-Wen Wang, Wan-Chi Siu, Zhi-Song Liu +2
Manipulating the light source of given images is an interesting task and useful in various applications, including photography and cinematography. Existing methods usually require…
Image Super-Resolution via Attention based Back Projection Networks
Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li +2
Deep learning based image Super-Resolution (SR) has shown rapid development due to its ability of big data digestion. Generally, deeper and wider networks can extract richer featur…
Topological resilience of optical skyrmions in local decoherence
Li-Wen Wang, Sheng Liu, Cheng-Jie Zhang +4
The topologically protected configuration embedded in skyrmions has prompted some investigations into their fundamental properties and versatile applications, sparking interest and…