80 citations · 137 across the 11 of their papers we have counts for
12 papers
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring
Yuzhi Zhao, Lai-Man Po, Xin Ye +2
Image degradation caused by noise and blur remains a persistent challenge in imaging systems, stemming from limitations in both hardware and methodology. Single-image solutions fac…
Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer
Wing-Yin Yu, Lai-Man Po, Ray C. C. Cheung +3
Video-based human pose transfer is a video-to-video generation task that animates a plain source human image based on a series of target human poses. Considering the difficulties i…
SVCNet: Scribble-based Video Colorization Network with Temporal Aggregation
Yuzhi Zhao, Lai-Man Po, Kangcheng Liu +5
In this paper, we propose a scribble-based video colorization network with temporal aggregation called SVCNet. It can colorize monochrome videos based on different user-given color…
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration
Yuzhi Zhao, Yongzhe Xu, Qiong Yan +3
Night imaging with modern smartphone cameras is troublesome due to low photon count and unavoidable noise in the imaging system. Directly adjusting exposure time and ISO ratings ca…
ChildPredictor: A Child Face Prediction Framework with Disentangled Learning
Yuzhi Zhao, Lai-Man Po, Xuehui Wang +9
The appearances of children are inherited from their parents, which makes it feasible to predict them. Predicting realistic children's faces may help settle many social problems, s…
Legacy Photo Editing with Learned Noise Prior
Zhao Yuzhi, Po Lai-Man, Wang Xuehui +5
There are quite a number of photographs captured under undesirable conditions in the last century. Thus, they are often noisy, regionally incomplete, and grayscale formatted. Conve…
SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network
Yuzhi Zhao, Lai-Man Po, Kwok-Wai Cheung +2
Given a grayscale photograph, the colorization system estimates a visually plausible colorful image. Conventional methods often use semantics to colorize grayscale images. However,…
Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning
Xuehui Wang, Qing Wang, Yuzhi Zhao +3
Despite convolutional network-based methods have boosted the performance of single image super-resolution (SISR), the huge computation costs restrict their practical applicability.…
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Kai Zhang, Martin Danelljan, Yawei Li +75
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…
Hierarchical Regression Network for Spectral Reconstruction from RGB Images
Yuzhi Zhao, Lai-Man Po, Qiong Yan +2
Capturing visual image with a hyperspectral camera has been successfully applied to many areas due to its narrow-band imaging technology. Hyperspectral reconstruction from RGB imag…
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte +87
This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new versi…
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image
Boaz Arad, Radu Timofte, Ohad Ben-Shahar +4
This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. As…