An Automatic Differentiation-based Waveform Inversion Framework Implemented in PyTorch.
[IEEE TGRS] DIP-HyperKite: Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction
3D reconstructions of mm-scale objects from sequences of phone camera images
Image Operations without training using deep image prior
3D reconstruction code for deep prior diffraction tomography
Image Compressed Sensing Reconstruction via Deep Image Prior With Structure-Texture Decomposition (SPL 2023) [PyTorch]
Reconstruction code and reproducible reconstruction scripts for DNLINV paper
Codes for the paper "Deep sparse and low-rank for HSI denoising" in Proceeding of IGARSS 2022, Kuala Lumpur.
Progressively Grown Deep Image Prior
my TensorFlow practice of "Deep Image Prior"
This is a project for removing fences from an image clicked through the fences using Deep Image Prior.
Deep image prior for tomographic reconstruction
A python package for deep learning ehancements to synthetic Magnetic Resonance Imaging (MRI)
Repositorio para mi Trabajo Final de Máster: Deconvolución Ciega de Imágenes Histológicas Usando Aprendizaje Profundo
Deep Image Prior
Reimplementation of the Deep Decoder architecture in Tensorflow
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