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AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural
  Representation

AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation

29 March 2023
Hyun-Joo Jung
Zhuo Hui
Lei Luo
Haitao Yang
Feng Liu
S. Yoo
Rakesh Ranjan
D. Demandolx
    3DPC
ArXivPDFHTML

Papers citing "AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation"

32 / 32 papers shown
Title
SNeRV: Spectra-preserving Neural Representation for Video
SNeRV: Spectra-preserving Neural Representation for Video
Jina Kim
Jihoo Lee
Je-Won Kang
98
3
0
03 Jan 2025
Multi-Scale RAFT: Combining Hierarchical Concepts for Learning-based
  Optical FLow Estimation
Multi-Scale RAFT: Combining Hierarchical Concepts for Learning-based Optical FLow Estimation
Azin Jahedi
Lukas Mehl
Marc Rivinius
Andrés Bruhn
79
14
0
25 Jul 2022
Imposing Consistency for Optical Flow Estimation
Imposing Consistency for Optical Flow Estimation
Jisoo Jeong
J. Lin
Fatih Porikli
Nojun Kwak
86
39
0
14 Apr 2022
DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow
DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow
Zihua Zheng
Ni Nie
Zhi Ling
Pengfei Xiong
Jiangyu Liu
Hongya Wang
Jiankun Li
MDE
55
46
0
01 Apr 2022
FlowFormer: A Transformer Architecture for Optical Flow
FlowFormer: A Transformer Architecture for Optical Flow
Zhaoyang Huang
Xiaoyu Shi
Chao Zhang
Qiang Wang
Ka Chun Cheung
Hongwei Qin
Jifeng Dai
Hongsheng Li
ViT
79
283
0
30 Mar 2022
Global Matching with Overlapping Attention for Optical Flow Estimation
Global Matching with Overlapping Attention for Optical Flow Estimation
Shiyu Zhao
Long Zhao
Zhixing Zhang
Enyu Zhou
Dimitris N. Metaxas
3DPC
121
78
0
21 Mar 2022
Disentangling Architecture and Training for Optical Flow
Disentangling Architecture and Training for Optical Flow
Deqing Sun
Charles Herrmann
F. Reda
Michael Rubinstein
David Fleet
William T. Freeman
3DPC
OOD
99
35
0
21 Mar 2022
GMFlow: Learning Optical Flow via Global Matching
GMFlow: Learning Optical Flow via Global Matching
Haofei Xu
Jing Zhang
Jianfei Cai
Hamid Rezatofighi
Dacheng Tao
97
361
0
26 Nov 2021
Alias-Free Generative Adversarial Networks
Alias-Free Generative Adversarial Networks
Tero Karras
M. Aittala
S. Laine
Erik Härkönen
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
174
1,595
0
23 Jun 2021
AutoFlow: Learning a Better Training Set for Optical Flow
AutoFlow: Learning a Better Training Set for Optical Flow
Deqing Sun
Daniel Vlasic
Charles Herrmann
Varun Jampani
Michael Krainin
Huiwen Chang
Ramin Zabih
William T. Freeman
Ce Liu
3DPC
83
118
0
29 Apr 2021
High-Resolution Optical Flow from 1D Attention and Correlation
High-Resolution Optical Flow from 1D Attention and Correlation
Haofei Xu
Jiaolong Yang
Jianfei Cai
Juyong Zhang
Xin Tong
110
77
0
28 Apr 2021
Learning to Estimate Hidden Motions with Global Motion Aggregation
Learning to Estimate Hidden Motions with Global Motion Aggregation
Shihao Jiang
Dylan Campbell
Yao Lu
Hongdong Li
Leonid Sigal
3DPC
113
297
0
06 Apr 2021
Learning Optical Flow from a Few Matches
Learning Optical Flow from a Few Matches
Shihao Jiang
Yao Lu
Hongdong Li
Leonid Sigal
79
71
0
05 Apr 2021
MVSNeRF: Fast Generalizable Radiance Field Reconstruction from
  Multi-View Stereo
MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo
Anpei Chen
Zexiang Xu
Fuqiang Zhao
Xiaoshuai Zhang
Fanbo Xiang
Jingyi Yu
Hao Su
118
801
0
29 Mar 2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance
  Fields
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Jonathan T. Barron
B. Mildenhall
Matthew Tancik
Peter Hedman
Ricardo Martín Brualla
Pratul P. Srinivasan
116
1,973
0
24 Mar 2021
Learning Continuous Image Representation with Local Implicit Image
  Function
Learning Continuous Image Representation with Local Implicit Image Function
Yinbo Chen
Sifei Liu
Xiaolong Wang
SSL
SupR
CLL
85
675
0
16 Dec 2020
pixelNeRF: Neural Radiance Fields from One or Few Images
pixelNeRF: Neural Radiance Fields from One or Few Images
Alex Yu
Vickie Ye
Matthew Tancik
Angjoo Kanazawa
173
1,737
0
03 Dec 2020
Nerfies: Deformable Neural Radiance Fields
Nerfies: Deformable Neural Radiance Fields
Keunhong Park
U. Sinha
Jonathan T. Barron
Sofien Bouaziz
Dan B. Goldman
S. M. Seitz
Ricardo Martín Brualla
3DH
149
1,136
0
25 Nov 2020
NeRF++: Analyzing and Improving Neural Radiance Fields
NeRF++: Analyzing and Improving Neural Radiance Fields
Kai Zhang
Gernot Riegler
Noah Snavely
V. Koltun
88
1,041
0
15 Oct 2020
Implicit Neural Representations with Periodic Activation Functions
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann
Julien N. P. Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
AI4TS
137
2,548
0
17 Jun 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
Zachary Teed
Jia Deng
MDE
219
2,623
0
26 Mar 2020
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
Shengyu Zhao
Yilun Sheng
Yue Dong
E. Chang
Yan Xu
3DPC
54
213
0
24 Mar 2020
Deep Video Super-Resolution using HR Optical Flow Estimation
Deep Video Super-Resolution using HR Optical Flow Estimation
Longguang Wang
Yulan Guo
Li Liu
Zaiping Lin
Xinpu Deng
W. An
SupR
64
138
0
06 Jan 2020
Optical Flow Guided Feature: A Fast and Robust Motion Representation for
  Video Action Recognition
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition
Shuyang Sun
Zhanghui Kuang
Wanli Ouyang
Lu Sheng
Wayne Zhang
76
296
0
29 Nov 2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
3DPC
251
2,444
0
07 Sep 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
173
5,904
0
10 Jul 2017
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Wei-Sheng Lai
Jia-Bin Huang
Narendra Ahuja
Ming-Hsuan Yang
SupR
115
2,443
0
12 Apr 2017
Detail-revealing Deep Video Super-resolution
Detail-revealing Deep Video Super-resolution
Xin Tao
Hongyun Gao
Renjie Liao
Jue Wang
Jiaya Jia
SupR
70
502
0
10 Apr 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Eddy Ilg
N. Mayer
Tonmoy Saikia
Margret Keuper
Alexey Dosovitskiy
Thomas Brox
3DPC
255
3,079
0
06 Dec 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
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
319
5,229
0
16 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
242
10,686
0
15 Sep 2016
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
148
8,075
0
31 Dec 2014
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