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TextIR: A Simple Framework for Text-based Editable Image Restoration

TextIR: A Simple Framework for Text-based Editable Image Restoration

28 February 2023
Yun-Hao Bai
Cairong Wang
Shuzhao Xie
Chao Dong
Chun Yuan
Zhi Wang
    DiffM
ArXiv (abs)PDFHTML

Papers citing "TextIR: A Simple Framework for Text-based Editable Image Restoration"

7 / 57 papers shown
Title
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
701
131,652
0
12 Jun 2017
COCO-Stuff: Thing and Stuff Classes in Context
COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar
J. Uijlings
V. Ferrari
132
1,387
0
12 Dec 2016
StackGAN: Text to Photo-realistic Image Synthesis with Stacked
  Generative Adversarial Networks
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang
Tao Xu
Hongsheng Li
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris N. Metaxas
GAN
118
2,725
0
10 Dec 2016
Generative Adversarial Text to Image Synthesis
Generative Adversarial Text to Image Synthesis
Scott E. Reed
Zeynep Akata
Xinchen Yan
Lajanugen Logeswaran
Bernt Schiele
Honglak Lee
GAN
203
3,146
0
17 May 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
237
10,249
0
27 Mar 2016
Generating Images from Captions with Attention
Generating Images from Captions with Attention
Elman Mansimov
Emilio Parisotto
Jimmy Lei Ba
Ruslan Salakhutdinov
VLM
79
457
0
09 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
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