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Neural Nearest Neighbors Networks

Neural Nearest Neighbors Networks

30 October 2018
Tobias Plötz
Stefan Roth
ArXivPDFHTML

Papers citing "Neural Nearest Neighbors Networks"

38 / 38 papers shown
Title
Machine learning for modelling unstructured grid data in computational physics: a review
Machine learning for modelling unstructured grid data in computational physics: a review
Sibo Cheng
Marc Bocquet
Weiping Ding
Tobias S. Finn
Rui Fu
...
Yong Zeng
Mingrui Zhang
Hao Zhou
Kewei Zhu
Rossella Arcucci
PINN
AI4CE
109
0
0
13 Feb 2025
Heterogeneous window transformer for image denoising
Heterogeneous window transformer for image denoising
Chunwei Tian
Menghua Zheng
Chia-Wen Lin
Zhiwu Li
David C. Zhang
ViT
32
14
0
08 Jul 2024
Fast, nonlocal and neural: a lightweight high quality solution to image
  denoising
Fast, nonlocal and neural: a lightweight high quality solution to image denoising
Yu Guo
Axel Davy
Gabriele Facciolo
Jean-Michel Morel
Qiyu Jin
21
16
0
06 Mar 2024
On normalization-equivariance properties of supervised and unsupervised
  denoising methods: a survey
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey
Sébastien Herbreteau
Charles Kervrann
OOD
35
0
0
23 Feb 2024
k* Distribution: Evaluating the Latent Space of Deep Neural Networks
  using Local Neighborhood Analysis
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis
Shashank Kotyan
Tatsuya Ueda
Danilo Vasconcellos Vargas
27
1
0
07 Dec 2023
A cross Transformer for image denoising
A cross Transformer for image denoising
Chunwei Tian
Menghua Zheng
Wangmeng Zuo
Shichao Zhang
Yanning Zhang
Chia-Wen Lin
ViT
22
73
0
16 Oct 2023
Unsupervised Image Denoising in Real-World Scenarios via
  Self-Collaboration Parallel Generative Adversarial Branches
Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches
X. Lin
Chao Ren
Xiao Liu
Jie Huang
Yinjie Lei
22
22
0
13 Aug 2023
NODE-ImgNet: a PDE-informed effective and robust model for image
  denoising
NODE-ImgNet: a PDE-informed effective and robust model for image denoising
Xinheng Xie
Yue-bo Wu
Hao Ni
Cuiyu He
11
8
0
18 May 2023
SIMPLE: A Gradient Estimator for $k$-Subset Sampling
SIMPLE: A Gradient Estimator for kkk-Subset Sampling
Kareem Ahmed
Zhe Zeng
Mathias Niepert
Guy Van den Broeck
BDL
36
24
0
04 Oct 2022
Dense residual Transformer for image denoising
Dense residual Transformer for image denoising
Chao Yao
Shuo Jin
Meiqin Liu
Xiaojuan Ban
ViT
28
29
0
14 May 2022
Learning Enriched Features for Fast Image Restoration and Enhancement
Learning Enriched Features for Fast Image Restoration and Enhancement
Syed Waqas Zamir
Aditya Arora
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
Ling Shao
SupR
10
400
0
19 Apr 2022
Multi-Scale Adaptive Network for Single Image Denoising
Multi-Scale Adaptive Network for Single Image Denoising
Yuanbiao Gou
Peng Hu
Jiancheng Lv
Joey Tianyi Zhou
Xiaocui Peng
16
27
0
08 Mar 2022
DeepBBS: Deep Best Buddies for Point Cloud Registration
DeepBBS: Deep Best Buddies for Point Cloud Registration
Itan Hezroni
Amnon Drory
Raja Giryes
S. Avidan
3DPC
34
18
0
06 Oct 2021
View Blind-spot as Inpainting: Self-Supervised Denoising with Mask
  Guided Residual Convolution
View Blind-spot as Inpainting: Self-Supervised Denoising with Mask Guided Residual Convolution
Yuhongze Zhou
Liguang Zhou
Tin Lun Lam
Yangsheng Xu
SSL
22
2
0
10 Sep 2021
Dead Pixel Test Using Effective Receptive Field
Dead Pixel Test Using Effective Receptive Field
Bum Jun Kim
Hyeyeon Choi
Hyeonah Jang
Dong Gu Lee
Wonseok Jeong
Sang Woo Kim
10
25
0
31 Aug 2021
Towards Self-Explainable Graph Neural Network
Towards Self-Explainable Graph Neural Network
Enyan Dai
Suhang Wang
25
83
0
26 Aug 2021
SwinIR: Image Restoration Using Swin Transformer
SwinIR: Image Restoration Using Swin Transformer
Jingyun Liang
Jie Cao
Guolei Sun
K. Zhang
Luc Van Gool
Radu Timofte
ViT
40
2,803
0
23 Aug 2021
Differentiable Subset Pruning of Transformer Heads
Differentiable Subset Pruning of Transformer Heads
Jiaoda Li
Ryan Cotterell
Mrinmaya Sachan
37
53
0
10 Aug 2021
All the attention you need: Global-local, spatial-channel attention for
  image retrieval
All the attention you need: Global-local, spatial-channel attention for image retrieval
Chull Hwan Song
Hye Joo Han
Yannis Avrithis
11
39
0
16 Jul 2021
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise
Jaeseok Byun
Sungmin Cha
Taesup Moon
28
42
0
23 May 2021
Posterior Sampling for Image Restoration using Explicit Patch Priors
Posterior Sampling for Image Restoration using Explicit Patch Priors
Roy Friedman
Yair Weiss
38
5
0
20 Apr 2021
Searching Efficient Model-guided Deep Network for Image Denoising
Searching Efficient Model-guided Deep Network for Image Denoising
Qiang Ning
W. Dong
Xin Li
Jinjian Wu
Leida Li
Guangming Shi
25
7
0
06 Apr 2021
COLA-Net: Collaborative Attention Network for Image Restoration
COLA-Net: Collaborative Attention Network for Image Restoration
Chong Mou
Jian Zhang
Xiaopeng Fan
Hangfan Liu
Ronggang Wang
18
74
0
10 Mar 2021
Feature-Align Network with Knowledge Distillation for Efficient
  Denoising
Feature-Align Network with Knowledge Distillation for Efficient Denoising
Lucas D. Young
F. Reda
Rakesh Ranjan
Jon Morton
Jun Hu
Y. Ling
Xiaoyu Xiang
David Liu
Vikas Chandra
30
3
0
02 Mar 2021
Learning to Guide Local Feature Matches
Learning to Guide Local Feature Matches
François Darmon
Mathieu Aubry
P. Monasse
3DV
16
11
0
21 Oct 2020
Sparsifying Transformer Models with Trainable Representation Pooling
Sparsifying Transformer Models with Trainable Representation Pooling
Michal Pietruszka
Łukasz Borchmann
Lukasz Garncarek
13
10
0
10 Sep 2020
Co-Attention for Conditioned Image Matching
Co-Attention for Conditioned Image Matching
Olivia Wiles
Sébastien Ehrhardt
Andrew Zisserman
VLM
17
13
0
16 Jul 2020
Dual Adversarial Network: Toward Real-world Noise Removal and Noise
  Generation
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation
Zongsheng Yue
Qian Zhao
Lei Zhang
Deyu Meng
DiffM
15
199
0
12 Jul 2020
Total Deep Variation: A Stable Regularizer for Inverse Problems
Total Deep Variation: A Stable Regularizer for Inverse Problems
Erich Kobler
Alexander Effland
K. Kunisch
T. Pock
MedIm
12
19
0
15 Jun 2020
Distributionally Robust Weighted $k$-Nearest Neighbors
Distributionally Robust Weighted kkk-Nearest Neighbors
Shixiang Zhu
Liyan Xie
Minghe Zhang
Rui Gao
Yao Xie
OOD
19
7
0
07 Jun 2020
Identity Enhanced Residual Image Denoising
Identity Enhanced Residual Image Denoising
Saeed Anwar
C. P. Huynh
Fatih Porikli
SupR
6
15
0
26 Apr 2020
SampleNet: Differentiable Point Cloud Sampling
SampleNet: Differentiable Point Cloud Sampling
Itai Lang
Asaf Manor
S. Avidan
3DPC
16
163
0
08 Dec 2019
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Jiahui Zhang
Dawei Sun
Zixin Luo
Anbang Yao
Lei Zhou
Tianwei Shen
Yurong Chen
Long Quan
Hongen Liao
3DPC
18
308
0
14 Aug 2019
High-throughput Onboard Hyperspectral Image Compression with
  Ground-based CNN Reconstruction
High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction
D. Valsesia
E. Magli
8
37
0
05 Jul 2019
Path-Restore: Learning Network Path Selection for Image Restoration
Path-Restore: Learning Network Path Selection for Image Restoration
K. Yu
Xintao Wang
Chao Dong
Xiaoou Tang
Chen Change Loy
19
83
0
23 Apr 2019
DeepRED: Deep Image Prior Powered by RED
DeepRED: Deep Image Prior Powered by RED
G. Mataev
Michael Elad
P. Milanfar
SupR
23
191
0
25 Mar 2019
Unprocessing Images for Learned Raw Denoising
Unprocessing Images for Learned Raw Denoising
Tim Brooks
B. Mildenhall
Tianfan Xue
Jiawen Chen
Dillon Sharlet
Jonathan T. Barron
11
433
0
27 Nov 2018
Identifying Recurring Patterns with Deep Neural Networks for Natural
  Image Denoising
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising
Zhihao Xia
Ayan Chakrabarti
13
27
0
13 Jun 2018
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