58 citations · 118 across the 13 of their papers we have counts for
4 papers · 1 filter
Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution
Ruohao Wang, Xiaohui Liu, Zhilu Zhang +4
Video super-resolution (VSR) aiming to reconstruct a high-resolution (HR) video from its low-resolution (LR) counterpart has made tremendous progress in recent years. However, it r…
A Survey on Leveraging Pre-trained Generative Adversarial Networks for Image Editing and Restoration
Ming Liu, Yuxiang Wei, Xiaohe Wu +2
Generative adversarial networks (GANs) have drawn enormous attention due to the simple yet effective training mechanism and superior image generation quality. With the ability to g…
Learning Diverse Tone Styles for Image Retouching
Haolin Wang, Jiawei Zhang, Ming Liu +2
Image retouching, aiming to regenerate the visually pleasing renditions of given images, is a subjective task where the users are with different aesthetic sensations. Most existing…
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones
Junyi Li, Xiaohe Wu, Zhenxing Niu +1
While significant progress has been made in deep video denoising, it remains very challenging for exploiting historical and future frames. Bidirectional recurrent networks (BiRNN)…