29 citations · 35 across the 4 of their papers we have counts for
4 papers
Progressive with Purpose: Guiding Progressive Inpainting DNNs through Context and Structure
Kangdi Shi, Muhammad Alrabeiah, Jun Chen
The advent of deep learning in the past decade has significantly helped advance image inpainting. Although achieving promising performance, deep learning-based inpainting algorithm…
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
Ren Yang, Radu Timofte, Jing Liu +69
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results. In this challenge, the new Large-scale Di…
Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference
Xiaohong Liu, Kangdi Shi, Zhe Wang +1
To the best of our knowledge, the existing deep-learning-based Video Super-Resolution (VSR) methods exclusively make use of videos produced by the Image Signal Processor (ISP) of t…
Video Frame Interpolation via Generalized Deformable Convolution
Zhihao Shi, Xiaohong Liu, Kangdi Shi +2
Video frame interpolation aims at synthesizing intermediate frames from nearby source frames while maintaining spatial and temporal consistencies. The existing deep-learning-based…