Boosting Flow-based Generative Super-Resolution Models via Learned Prior

Boosting Flow-based Generative Super-Resolution Models via Learned Prior

16 March 2024

Chun-Yi Lee

Papers citing "Boosting Flow-based Generative Super-Resolution Models via Learned Prior"

7 / 7 papers shown

Title
The Power of Context: How Multimodality Improves Image Super-Resolution Kangfu Mei Hossein Talebi Mojtaba Ardakani Vishal M. Patel P. Milanfar M. Delbracio DiffM 85 1 0 18 Mar 2025
Image Quality Assessment: Enhancing Perceptual Exploration and Interpretation with Collaborative Feature Refinement and Hausdorff distance Xuekai Wei Junyu Zhang Qinlin Hu Mingliang Zhou\\Yong Feng Weizhi Xian Huayan Pu Sam Kwong 80 0 0 20 Dec 2024
HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior Li-Yuan Tsao Hao-Wei Chen Hao-Wei Chung Deqing Sun Chun-Yi Lee Kelvin Chan Ming Yang DiffM 78 3 0 27 Nov 2024
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case Clément Chadebec Louis J. Vincent S. Allassonnière DRL 34 29 0 16 Jun 2022
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 297 10,368 0 12 Dec 2018
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
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 312 36,381 0 25 Aug 2016