$MFSR: Multi-fractal Feature for Super-resolution Reconstruction with Fine Details Recovery$

MFSR: Multi-fractal Feature for Super-resolution Reconstruction with Fine Details Recovery

27 February 2025

Papers citing "MFSR: Multi-fractal Feature for Super-resolution Reconstruction with Fine Details Recovery"

19 / 19 papers shown

Title
Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration Wenyang Liu Yi Wang Kim-Hui Yap Lap-Pui Chau 37 8 0 14 Apr 2023
ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution Shuyao Shang Zhengyang Shan Guangxing Liu LunQian Wang XingHua Wang Zekai Zhang Jingling Zhang DiffM 61 90 0 15 Mar 2023
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration Yawei Li Yuchen Fan Xiaoyu Xiang D. Demandolx Rakesh Ranjan Radu Timofte Luc Van Gool 53 178 0 01 Mar 2023
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model Junde Wu Rao Fu Huihui Fang Yu Zhang Yehui Yang Haoyi Xiong Huiying Liu Yanwu Xu MedIm VLM DiffM 119 249 0 01 Nov 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 350 6,854 0 13 Apr 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 374 15,454 0 20 Dec 2021
MUSIQ: Multi-scale Image Quality Transformer Junjie Ke Qifei Wang Yilin Wang P. Milanfar Feng Yang 205 662 0 12 Aug 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 183 7,818 0 11 May 2021
Bayesian Image Reconstruction using Deep Generative Models Razvan Marinescu Daniel Moyer Polina Golland OOD DiffM 60 39 0 08 Dec 2020
SRFlow: Learning the Super-Resolution Space with Normalizing Flow Andreas Lugmayr Martin Danelljan Luc Van Gool Radu Timofte SupR DRL 72 360 0 25 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 524 18,008 0 19 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 240 551 0 08 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 532 10,540 0 12 Dec 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 285 3,128 0 09 Jul 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 331 11,784 0 11 Jan 2018
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 240 10,686 0 15 Sep 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,814 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,099 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014

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