research
∙
05/17/2023
Binarized Spectral Compressive Imaging
Existing deep learning models for hyperspectral image (HSI) reconstructi...
share
research
∙
04/10/2023
ITportrait: Image-Text Coupled 3D Portrait Domain Adaptation
Domain adaptation of 3D portraits has gained more and more attention. Ho...
research
∙
03/12/2023
Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement
When enhancing low-light images, many deep learning algorithms are based...
research
∙
05/20/2022
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration
How to properly model the inter-frame relation within the video sequence...
research
∙
05/20/2022
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
In coded aperture snapshot spectral compressive imaging (CASSI) systems,...
research
∙
04/17/2022
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction
Existing leading methods for spectral reconstruction (SR) focus on desig...
research
∙
04/06/2022
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training
Existing deep learning real denoising methods require a large amount of ...
research
∙
03/09/2022
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction
Many algorithms have been developed to solve the inverse problem of code...
research
∙
03/04/2022
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging
The rapid development of deep learning provides a better solution for th...
research
∙
01/06/2022
Flow-Guided Sparse Transformer for Video Deblurring
Exploiting similar and sharper scene patches in spatio-temporal neighbor...
research
∙
01/03/2022
RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical Benchmark
Ophthalmologists have used fundus images to screen and diagnose eye dise...
research
∙
11/15/2021
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
Hyperspectral image (HSI) reconstruction aims to recover the 3D spatial-...
research
∙
12/13/2020
Efficient Human Pose Estimation by Learning Deeply Aggregated Representations
In this paper, we propose an efficient human pose estimation network (DA...
research
∙
03/09/2020