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Learning to Kindle the Starlight

Learning to Kindle the Starlight

16 November 2022
Yu Yuan
Jiaqi Wu
Lindong Wang
Zhongliang Jing
H. Leung
Shuyuan Zhu
Han Pan
    DiffM
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Papers citing "Learning to Kindle the Starlight"

35 / 35 papers shown
Title
High-Resolution Image Editing via Multi-Stage Blended Diffusion
High-Resolution Image Editing via Multi-Stage Blended Diffusion
J. Ackermann
Minjun Li
DiffM
39
15
0
24 Oct 2022
AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using
  Denoising Diffusion Probabilistic Models
AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models
Nithin Gopalakrishnan Nair
Kangfu Mei
Vishal M. Patel
DiffM
40
45
0
24 Aug 2022
Restoring Vision in Adverse Weather Conditions with Patch-Based
  Denoising Diffusion Models
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models
Ozan Özdenizci
Robert Legenstein
DiffM
65
255
0
29 Jul 2022
Dancing under the stars: video denoising in starlight
Dancing under the stars: video denoising in starlight
Kristina Monakhova
Stephan R. Richter
Laura Waller
V. Koltun
VGen
60
51
0
08 Apr 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
235
30,089
0
01 Mar 2022
Denoising Diffusion Restoration Models
Denoising Diffusion Restoration Models
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
262
823
0
27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
Feng Yu
Radu Timofte
Luc Van Gool
DiffM
328
1,396
0
24 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
357
15,373
0
20 Dec 2021
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
469
1,627
0
10 Nov 2021
Realistic galaxy image simulation via score-based generative models
Realistic galaxy image simulation via score-based generative models
Michael J. Smith
James E. Geach
Ryan A. Jackson
Nikhil Arora
C. Stone
Stéphane Courteau
DiffM
73
33
0
02 Nov 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
Jooyoung Choi
Sungwon Kim
Yonghyun Jeong
Youngjune Gwon
Sungroh Yoon
DiffM
116
714
0
06 Aug 2021
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure
  Synthetic Data
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
Xintao Wang
Liangbin Xie
Chao Dong
Ying Shan
100
1,149
0
22 Jul 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
181
7,765
0
11 May 2021
Low-Light Image and Video Enhancement Using Deep Learning: A Survey
Low-Light Image and Video Enhancement Using Deep Learning: A Survey
Chongyi Li
Chunle Guo
Linghao Han
Jun Jiang
Mingg-Ming Cheng
Liang Feng
Chen Change Loy
87
366
0
21 Apr 2021
The Simulated Sky: Stellarium for Cultural Astronomy Research
The Simulated Sky: Stellarium for Cultural Astronomy Research
G. Zotti
S. Hoffmann
Alexander V. Wolf
F. Chéreau
Guillaume Chéreau
32
49
0
29 Mar 2021
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve
  Estimation
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
Chongyi Li
Chunle Guo
Chen Change Loy
3DV
76
486
0
01 Mar 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
291
3,648
0
18 Feb 2021
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
500
17,888
0
19 Jun 2020
Linformer: Self-Attention with Linear Complexity
Linformer: Self-Attention with Linear Complexity
Sinong Wang
Belinda Z. Li
Madian Khabsa
Han Fang
Hao Ma
185
1,694
0
08 Jun 2020
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Chunle Guo
Chongyi Li
Jichang Guo
Chen Change Loy
Junhui Hou
Sam Kwong
Runmin Cong
DiffM
3DV
87
1,346
0
19 Jan 2020
EnlightenGAN: Deep Light Enhancement without Paired Supervision
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Yi Ding
Xinyu Gong
Ding Liu
Yu Cheng
Chen Fang
Xiaohui Shen
Jianchao Yang
Pan Zhou
Zhangyang Wang
64
1,553
0
17 Jun 2019
Kindling the Darkness: A Practical Low-light Image Enhancer
Kindling the Darkness: A Practical Low-light Image Enhancer
Yonghua Zhang
Jiawan Zhang
Xiaojie Guo
109
1,195
0
04 May 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
529
10,540
0
12 Dec 2018
Albumentations: fast and flexible image augmentations
Albumentations: fast and flexible image augmentations
A. Buslaev
Alex Parinov
Eugene Khvedchenya
V. Iglovikov
Alexandr A Kalinin
136
1,966
0
18 Sep 2018
Deep Retinex Decomposition for Low-Light Enhancement
Deep Retinex Decomposition for Low-Light Enhancement
Chen Wei
Wenjing Wang
Wenhan Yang
Jiaying Liu
93
1,721
0
14 Aug 2018
Learning to See in the Dark
Learning to See in the Dark
Cheng Chen
Qifeng Chen
Jia Xu
V. Koltun
278
1,181
0
04 May 2018
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
107
3,758
0
15 Aug 2017
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
640
130,942
0
12 Jun 2017
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
288
8,091
0
13 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.0K
193,426
0
10 Dec 2015
LLNet: A Deep Autoencoder Approach to Natural Low-light Image
  Enhancement
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement
Kin Gwn Lore
Adedotun Akintayo
Soumik Sarkar
38
1,452
0
12 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.6K
76,917
0
18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDa
DiffM
258
6,887
0
12 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.5K
149,842
0
22 Dec 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.5K
39,472
0
01 Sep 2014
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