activity
20202022
most citedSCGAN: Saliency Map-guided Colorization with Generative Adversarial Network

80 citations · 104 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV202211 cited

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…

cs.CV2021

Spatial Content Alignment For Pose Transfer

Wing-Yin Yu, Lai-Man Po, Yuzhi Zhao +2

Due to unreliable geometric matching and content misalignment, most conventional pose transfer algorithms fail to generate fine-trained person images. In this paper, we propose a n…

cs.CV2020

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…

cs.CV202080 cited

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,…

eess.IV20205 cited

UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results

Yuqian Zhou, Michael Kwan, Kyle Tolentino +42

This paper is the report of the first Under-Display Camera (UDC) image restoration challenge in conjunction with the RLQ workshop at ECCV 2020. The challenge is based on a newly-co…

eess.IV20207 cited

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…