Projected Distribution Loss for Image Enhancement

16 December 2020

Papers citing "Projected Distribution Loss for Image Enhancement"

24 / 24 papers shown

Title
Auto-Encoded Supervision for Perceptual Image Super-Resolution MinKyu Lee Sangeek Hyun Woojin Jun Jae-Pil Heo SupR 91 0 0 28 Nov 2024
Efficient One-Step Diffusion Refinement for Snapshot Compressive Imaging Yunzhen Wang Haijin Zeng Shaoguang Huang Hongyu Chen Hongyan Zhang DiffM 19 0 0 11 Sep 2024
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning P. Milanfar M. Delbracio AI4CE 67 9 0 10 Sep 2024
DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor Juncheng Wu Zhangkai Ni Hanli Wang Wenhan Yang Yuyin Zhou Shiqi Wang 38 1 0 12 Jun 2024
Self-Supervised Learning for Real-World Super-Resolution from Dual and Multiple Zoomed Observations Zhilu Zhang Ruohao Wang Hongzhi Zhang Wangmeng Zuo MDE SupR 41 2 0 03 May 2024
Misalignment-Robust Frequency Distribution Loss for Image Transformation Zhangkai Ni Juncheng Wu Zian Wang Wenhan Yang Hanli Wang Lin Ma 42 4 0 28 Feb 2024
See360: Novel Panoramic View Interpolation Zhi-Song Liu Marie-Paule Cani W. Siu 184 3 0 07 Jan 2024
SPIRE: Semantic Prompt-Driven Image Restoration Chenyang Qi Zhengzhong Tu Keren Ye M. Delbracio P. Milanfar Qifeng Chen Hossein Talebi DiffM 28 11 0 18 Dec 2023
Self-Supervised Super-Resolution Approach for Isotropic Reconstruction of 3D Electron Microscopy Images from Anisotropic Acquisition Mohammad Khateri Morteza Ghahremani Alejandra Sierra Jussi Tohka 16 2 0 19 Sep 2023
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution Axi Niu T. Pham Kang Zhang Jinqiu Sun Yu Zhu Inso Kweon Yanning Zhang DiffM 22 19 0 03 Jul 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy T. Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine L. Bouman William T. Freeman DiffM 87 87 0 23 Apr 2023
Image Deblurring by Exploring In-depth Properties of Transformer Pengwei Liang Junjun Jiang Xianming Liu Jiayi Ma ViT 42 20 0 24 Mar 2023
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration M. Delbracio P. Milanfar DiffM 29 111 0 20 Mar 2023
Multiscale Structure Guided Diffusion for Image Deblurring Mengwei Ren M. Delbracio Hossein Talebi Guido Gerig P. Milanfar DiffM 21 59 0 04 Dec 2022
DeepWSD: Projecting Degradations in Perceptual Space to Wasserstein Distance in Deep Feature Space Xigran Liao Baoliang Chen Hanwei Zhu Shiqi Wang Mingliang Zhou Sam Kwong 24 23 0 05 Aug 2022
Adversarial Distortion Learning for Medical Image Denoising Morteza Ghahremani Mohammad Khateri Alejandra Sierra Jussi Tohka MedIm 21 14 0 29 Apr 2022
Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment Yue Cao Zhaolin Wan Dongwei Ren Zifei Yan W. Zuo 14 19 0 19 Apr 2022
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations Zhilu Zhang Ruohao Wang Hongzhi Zhang Yunjin Chen W. Zuo MDE SupR 22 21 0 02 Mar 2022
MAXIM: Multi-Axis MLP for Image Processing Zhengzhong Tu Hossein Talebi Han Zhang Feng Yang P. Milanfar A. Bovik Yinxiao Li 30 463 0 09 Jan 2022
Deblurring via Stochastic Refinement Jay Whang M. Delbracio Hossein Talebi Chitwan Saharia A. Dimakis P. Milanfar DiffM 33 264 0 05 Dec 2021
Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurring Seungjun Nah Sanghyun Son Jaerin Lee Kyoung Mu Lee 64 17 0 26 Apr 2021
Interpretable Unsupervised Diversity Denoising and Artefact Removal M. Prakash M. Delbracio P. Milanfar Florian Jug 43 34 0 03 Apr 2021
Training a Task-Specific Image Reconstruction Loss Aamir Mustafa A. Mikhailiuk Dan-Andrei Iliescu Varun Babbar Rafał K. Mantiuk DRL SupR 11 23 0 26 Mar 2021
Learning to See in the Dark Cheng Chen Qifeng Chen Jia Xu V. Koltun 184 1,165 0 04 May 2018