65 citations · 265 across the 36 of their papers we have counts for
40 papers
Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration
Kechun Liu, Yitong Jiang, Inchang Choi +1
Recent work on discrete generative priors, in the form of codebooks, has shown exciting performance for image reconstruction and restoration, as the discrete prior space spanned by…
MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results
Qingpeng Zhu, Wenxiu Sun, Yuekun Dai +20
Depth completion from RGB images and sparse Time-of-Flight (ToF) measurements is an important problem in computer vision and robotics. While traditional methods for depth completio…
MIPI 2023 Challenge on RGBW Fusion: Methods and Results
Qianhui Sun, Qingyu Yang, Chongyi Li +7
Developing and integrating advanced image sensors with novel algorithms in camera systems are prevalent with the increasing demand for computational photography and imaging on mobi…
MIPI 2023 Challenge on RGBW Remosaic: Methods and Results
Qianhui Sun, Qingyu Yang, Chongyi Li +7
Developing and integrating advanced image sensors with novel algorithms in camera systems are prevalent with the increasing demand for computational photography and imaging on mobi…
Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera
Ruicheng Feng, Chongyi Li, Huaijin Chen +3
Due to the difficulty in collecting large-scale and perfectly aligned paired training data for Under-Display Camera (UDC) image restoration, previous methods resort to monitor-base…
Random Weights Networks Work as Loss Prior Constraint for Image Restoration
Man Zhou, Naishan Zheng, Jie Huang +5
In this paper, orthogonal to the existing data and model studies, we instead resort our efforts to investigate the potential of loss function in a new perspective and present our b…