[ECCV2022] Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
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Mar 28, 2024 - Python
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[ECCV2022] Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
deep-learning restoration deblurring frame-interpolation deblur image-to-video deblurring-algorithm eccv2022
“Disparitybased space-variant image deblurring,” Signal Processing: Image Communication, vol. 28, no. 7, pp. 792–808, 2013.
image-reconstruction optimization image-processing convolution regularization graph-cut image-segmentation autocorrelation disparity image-restoration deconvolution point-spread-function maximum-a-posteriori-estimation deblurring image-deblurring blurred-images kurtosis space-variant psf-estimation deblurring-algorithm
Plug-and-Play ADMM scheme based on an adaptive denoiser using the Schroedinger equation's solutions of quantum physics.
image quantum quantum-mechanics image-processing quantum-computing admm inverse-problems image-restoration deconvolution fluorescence-microscopy-imaging deblurring inverse-problem plugandplay plug-and-play-priors deblurring-algorithm quantum-image-processing admm-algorithm adaptive-transformation quantum-denoiser adaptive-denoiser
This is a very simplified ipynb code for KupynOrest's Deblur GAN code. DeblurGAN addresses the challenge of end-to-end image deblurring through the use of conditional Generative Adversarial Networks (cGANs).I have used pytorch for this implementation.
gan perceptual-losses deblurring wasserstein-gan adversarial-machine-learning cgan deblurgan deblurring-algorithm
Motion deblurring from a single image: blind and non-blind deconvolution
image-processing video-processing perceptual-quality perceptual-similarity deblurgan deblurring-algorithm vision-transformer generative-ai
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