13 citations · 22 across the 6 of their papers we have counts for
6 papers
Learning Degradation-Independent Representations for Camera ISP Pipelines
Yanhui Guo, Fangzhou Luo, Xiaolin Wu
Image signal processing (ISP) pipeline plays a fundamental role in digital cameras, which converts raw Bayer sensor data to RGB images. However, ISP-generated images usually suffer…
Parameter-Efficient Tuning Makes a Good Classification Head
Zhuoyi Yang, Ming Ding, Yanhui Guo +2
In recent years, pretrained models revolutionized the paradigm of natural language understanding (NLU), where we append a randomly initialized classification head after the pretrai…
Self-Supervised Face Image Restoration with a One-Shot Reference
Yanhui Guo, Fangzhou Luo, Shaoyuan Xu
For image restoration, methods leveraging priors from generative models have been proposed and demonstrated a promising capacity to robustly restore photorealistic and high-quality…
Functional Neural Networks for Parametric Image Restoration Problems
Fangzhou Luo, Xiaolin Wu, Yanhui Guo
Almost every single image restoration problem has a closely related parameter, such as the scale factor in super-resolution, the noise level in image denoising, and the quality fac…
Data Acquisition and Preparation for Dual-reference Deep Learning of Image Super-Resolution
Yanhui Guo, Xiaolin Wu, Xiao Shu
The performance of deep learning based image super-resolution (SR) methods depend on how accurately the paired low and high resolution images for training characterize the sampling…
Deep Multi-modality Soft-decoding of Very Low Bit-rate Face Videos
Yanhui Guo, Xi Zhang, Xiaolin Wu
We propose a novel deep multi-modality neural network for restoring very low bit rate videos of talking heads. Such video contents are very common in social media, teleconferencing…