Differentiable Rendering for Synthetic Aperture Radar Imagery

no code implementations • 4 Apr 2022 • Michael Wilmanski, Jonathan Tamir

There is rising interest in differentiable rendering, which allows explicitly modeling geometric priors and constraints in optimization pipelines using first-order methods such as backpropagation.

3D Object Reconstruction Neural Rendering

Robust Compressed Sensing MR Imaging with Deep Generative Priors

no code implementations • NeurIPS Workshop Deep_Invers 2021 • Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alex Dimakis, Jonathan Tamir

The CSGM framework (Bora-Jalal-Price-Dimakis'17) has shown that deep generative priors can be powerful tools for solving inverse problems.

Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference

1 code implementation • 31 Oct 2020 • Ali Lotfi Rezaabad, Rahi Kalantari, Sriram Vishwanath, Mingyuan Zhou, Jonathan Tamir

We show that the existing semi-implicit variational inference objective provably reduces information in the observed graph.

Graph Embedding Link Prediction +2