PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data

8 August 2023

Papers citing "PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data"

4 / 4 papers shown

Title
Topology Guidance: Controlling the Outputs of Generative Models via Vector Field Topology Xiaohan Wang Matthew Berger DiffM 33 0 0 11 May 2025
SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration and Uncertainty Quantification Jingyi Shen Yuhan Duan Han-Wei Shen AI4CE 27 1 0 16 Jul 2024
Boosting Flow-based Generative Super-Resolution Models via Learned Prior Li-Yuan Tsao Yi-Chen Lo Chia-Che Chang Hao-Wei Chen Roy Tseng Chien Feng Chun-Yi Lee SupR 24 4 0 16 Mar 2024
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 198 5,176 0 16 Sep 2016