3 accepted papers
Probabilistic path models have significantly improved generative tasks in computer vision. Researchers use diffusion model as 3D pretrained decoder, learning representation by predicting noise. However, this method requires noise addition and denoising operations throughout the entire point cloud, l
"Proper spectral modeling within hyperspectral image (HSI) is critical yet highly challenging for HSI denoising. In contrast to existing methods that struggle between effectiveness and flexibility in modeling long-range spectral dependencies and directly explore spatial-spectral information without…
Hyperspectral image (HSI) denoising has achieved promising results with the development of deep learning. A mainstream class of methods exploits the spatial-spectral correlations and recovers each band with the aids of neighboring bands, collectively referred to as spectral auxiliary networks. Howev…