28 citations · 116 across the 18 of their papers we have counts for
21 papers · 1 filter
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…
Overexposure Mask Fusion: Generalizable Reverse ISP Multi-Step Refinement
Jinha Kim, Jun Jiang, Jinwei Gu
With the advent of deep learning methods replacing the ISP in transforming sensor RAW readings into RGB images, numerous methodologies solidified into real-life applications. Equal…
Neighbourhood Representative Sampling for Efficient End-to-end Video Quality Assessment
Haoning Wu, Chaofeng Chen, Liang Liao +5
The increased resolution of real-world videos presents a dilemma between efficiency and accuracy for deep Video Quality Assessment (VQA). On the one hand, keeping the original reso…
Deep Fourier Up-Sampling
Man Zhou, Hu Yu, Jie Huang +5
Existing convolutional neural networks widely adopt spatial down-/up-sampling for multi-scale modeling. However, spatial up-sampling operators (\emph{e.g.}, interpolation, transpos…
MIPI 2022 Challenge on RGBW Sensor Re-mosaic: Dataset and Report
Qingyu Yang, Guang Yang, Jun Jiang +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 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report
Wenxiu Sun, Qingpeng Zhu, Chongyi Li +6
Developing and integrating advanced image sensors with novel algorithms in camera systems is prevalent with the increasing demand for computational photography and imaging on mobil…