A5076398345- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Generative Adversarial Networks and Image Synthesis
- Image and Signal Denoising Methods
Xidian University
2025
Beijing Jiaotong University
2022-2024
Reconstructing hyperspectral images (HSIs) from RGB is an effective technique to overcome the high cost of spectrometers. Recently, Transformers have shown potential in capturing long-range dependencies for spectral reconstruction. However, few Transformer models attempt simultaneously capture both spatial and correlations HSIs. Within this study, we introduce integrated spatial–spectral hybrid (SSHFormer) framework designed interplay between features HSIs, with aim incrementally enhancing...
Video super-resolution (VSR) algorithms aim at recovering a temporally consistent high-resolution (HR) video from its corresponding low-resolution (LR) sequence. Due to the limited bandwidth during transmission, most available videos on internet are compressed. Nevertheless, few existing consider compression factor in practical applications. In this paper, we propose an enhanced VSR model towards compressed videos, termed as ECVSR, simultaneously achieve artifacts reduction and SR...
Recent image inpainting methods have achieved remarkable improvements by using generative adversarial networks (GAN). Most of them been designed to produce plausible results from high-level semantic features only high-resolution (HR) supervision. However, because abundant details are lost in large holes, it is difficult simultaneously synthesize while preserving structural coherence HR space. Besides, the correlations between inside and outside missing region play a critical role...