Single Image Super Resolution based on a Modified U-net with Mixed Gradient Loss

21 November 2019

Papers citing "Single Image Super Resolution based on a Modified U-net with Mixed Gradient Loss"

9 / 9 papers shown

Title
CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process Jinhe Bi Danqi Yan Yifan Wang Wenke Huang Haokun Chen ... Mang Ye Xun Xiao Hinrich Schuetze Volker Tresp Yunpu Ma LRM 22 0 0 19 May 2025
CLIP-aware Domain-Adaptive Super-Resolution Zhengyang Lu Qian Xia Weifan Wang Feng Wang SupR 33 0 0 18 May 2025
CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual Inference Zhengyang Lu Bingjie Lu Feng Wang 37 3 0 28 Jan 2025
Single-image reflection removal via self-supervised diffusion models Zhengyang Lu Weifan Wang Tianhao Guo Feng Wang DiffM 39 4 0 31 Dec 2024
Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging E. Morotti Davide Evangelista Andrea Sebastiani E. L. Piccolomini 43 1 0 25 Apr 2024
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 23 8 0 14 Apr 2023
FREDSR: Fourier Residual Efficient Diffusive GAN for Single Image Super Resolution Kyoungwan Woo Achyuta Rajaram DiffM 36 1 0 30 Nov 2022
Dense U-net for super-resolution with shuffle pooling layer Zhengyang Lu Ying-Cong Chen SupR 36 2 0 11 Nov 2020
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 234 5,180 0 16 Sep 2016