IEEE

Blind Image Deconvolution Using Variational Deep Image Prior

Abstract: Conventional deconvolution methods utilize hand-crafted image priors to constrain the optimization. While deep-learning-based methods have simplified the optimization by end-to-end training, ...
IEEE

Physical Model and Super-Resolution Theory-Guided Unsupervised Deep Learning Deconvolution for Seismic Resolution Enhancement

Abstract: Seismic wavelet interference limits the vertical resolution of seismic data, making it challenging to accurately characterize subsurface geological structures. Seismic reflectivity ...
GitHub

Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer (TPAMI 2023)

2023-01 [NEW:tada:] This repository now contains the code of the ICCV paper and the extra contents of the extended version, including: 2. SnowflakeNet: Point Cloud Completion by Snowflake Point ...
GitHub

Galaxy Image Deconvolution for Weak Gravitational Lensing with Unrolled Plug-and-Play ADMM

If you want to train the models with Shape Constraint, please install AlphaTransform. Download our simulated galaxy dataset from Google Drive. To train the models ...