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

Test-Time Forward Model Adaptation for Seismic Deconvolution

Abstract: Seismic deconvolution is essential for extracting layer information from noisy seismic data, but it is an ill-posed problem with nonunique solutions. Inspired by classical optimization ...
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 ...