43 citations · 72 across the 7 of their papers we have counts for
7 papers
Energy-oriented Diffusion Bridge for Image Restoration with Foundational Diffusion Models
Jinhui Hou, Zhiyu Zhu, Junhui Hou
Diffusion bridge models have shown great promise in image restoration by explicitly connecting clean and degraded image distributions. However, they often rely on complex and high-…
Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration
Zhiyu Zhu, Jinhui Hou, Hui Liu +2
The differential equation-based image restoration approach aims to establish learnable trajectories connecting high-quality images to a tractable distribution, e.g., low-quality im…
Modeling State Shifting via Local-Global Distillation for Event-Frame Gaze Tracking
Jiading Li, Zhiyu Zhu, Jinhui Hou +2
This paper tackles the problem of passive gaze estimation using both event and frame data. Considering the inherently different physiological structures, it is intractable to accur…
Global Structure-Aware Diffusion Process for Low-Light Image Enhancement
Jinhui Hou, Zhiyu Zhu, Junhui Hou +3
This paper studies a diffusion-based framework to address the low-light image enhancement problem. To harness the capabilities of diffusion models, we delve into this intricate pro…
Deep Diversity-Enhanced Feature Representation of Hyperspectral Images
Jinhui Hou, Zhiyu Zhu, Junhui Hou +3
In this paper, we study the problem of efficiently and effectively embedding the high-dimensional spatio-spectral information of hyperspectral (HS) images, guided by feature divers…
Rank-Enhanced Low-Dimensional Convolution Set for Hyperspectral Image Denoising
Jinhui Hou, Zhiyu Zhu, Hui Liu +1
This paper tackles the challenging problem of hyperspectral (HS) image denoising. Unlike existing deep learning-based methods usually adopting complicated network architectures or…
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution
Jinhui Hou, Zhiyu Zhu, Junhui Hou +3
In this paper, we investigate the problem of hyperspectral (HS) image spatial super-resolution via deep learning. Particularly, we focus on how to embed the high-dimensional spatia…