27 citations · 51 across the 5 of their papers we have counts for
7 papers
OmniScaleSR: Unleashing Scale-Controlled Diffusion Prior for Faithful and Realistic Arbitrary-Scale Image Super-Resolution
Xinning Chai, Zhengxue Cheng, Yuhong Zhang +5
Arbitrary-scale super-resolution (ASSR) overcomes the limitation of traditional super-resolution (SR) methods that operate only at fixed scales (e.g., 4x), enabling a single model…
Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration
Yuhong Zhang, Hengsheng Zhang, Xinning Chai +4
Image restoration is a classic low-level problem aimed at recovering high-quality images from low-quality images with various degradations such as blur, noise, rain, haze, etc. How…
SSP-IR: Semantic and Structure Priors for Diffusion-based Realistic Image Restoration
Yuhong Zhang, Hengsheng Zhang, Zhengxue Cheng +3
Realistic image restoration is a crucial task in computer vision, and diffusion-based models for image restoration have garnered significant attention due to their ability to produ…
A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution
Hengsheng Zhang, Xueyi Zou, Jiaming Guo +3
Online processing of compressed videos to increase their resolutions attracts increasing and broad attention. Video Super-Resolution (VSR) using recurrent neural network architectu…
Enhance the Motion Cues for Face Anti-Spoofing using CNN-LSTM Architecture
Xiaoguang Tu, Hengsheng Zhang, Mei Xie +3
Spatio-temporal information is very important to capture the discriminative cues between genuine and fake faces from video sequences. To explore such a temporal feature, the fine-g…
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing
Xiaoguang Tu, Jian Zhao, Mei Xie +5
Face anti-spoofing (a.k.a presentation attack detection) has drawn growing attention due to the high-security demand in face authentication systems. Existing CNN-based approaches u…