Reconstructing Interpretable Features in Computational Super-Resolution microscopy via Regularized Latent Search

29 May 2024

Papers citing "Reconstructing Interpretable Features in Computational Super-Resolution microscopy via Regularized Latent Search"

5 / 5 papers shown

Title
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 103 1,869 0 11 Jun 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 220 545 0 08 Mar 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 113 1,662 0 05 Dec 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 479 10,466 0 12 Dec 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 205 11,610 0 11 Jan 2018