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Implicit Neural Image Field for Biological Microscopy Image Compression

Implicit Neural Image Field for Biological Microscopy Image Compression

29 May 2024
Gaole Dai
Cheng-Ching Tseng
Qingpo Wuwu
Rongyu Zhang
Shaokang Wang
Ming Lu
Tiejun Huang
Yu Zhou
A. A. Tuz
Matthias Gunzer
Jianxu Chen
Shanghang Zhang
ArXivPDFHTML

Papers citing "Implicit Neural Image Field for Biological Microscopy Image Compression"

12 / 12 papers shown
Title
MoEC: Mixture of Experts Implicit Neural Compression
MoEC: Mixture of Experts Implicit Neural Compression
Jianchen Zhao
Cheng-Ching Tseng
Ming Lu
Ruichuan An
Xiaobao Wei
He Sun
Shanghang Zhang
59
3
0
03 Dec 2023
Siamese SIREN: Audio Compression with Implicit Neural Representations
Siamese SIREN: Audio Compression with Implicit Neural Representations
Luca A. Lanzendörfer
Roger Wattenhofer
42
9
0
22 Jun 2023
VeLO: Training Versatile Learned Optimizers by Scaling Up
VeLO: Training Versatile Learned Optimizers by Scaling Up
Luke Metz
James Harrison
C. Freeman
Amil Merchant
Lucas Beyer
...
Naman Agrawal
Ben Poole
Igor Mordatch
Adam Roberts
Jascha Narain Sohl-Dickstein
57
60
0
17 Nov 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller
Alex Evans
Christoph Schied
A. Keller
261
3,970
0
16 Jan 2022
NeRV: Neural Representations for Videos
NeRV: Neural Representations for Videos
Hao Chen
Bo He
Hanyu Wang
Yixuan Ren
Ser-Nam Lim
Abhinav Shrivastava
30
245
0
26 Oct 2021
Modulated Periodic Activations for Generalizable Local Functional
  Representations
Modulated Periodic Activations for Generalizable Local Functional Representations
Ishit Mehta
Michael Gharbi
Connelly Barnes
Eli Shechtman
R. Ramamoorthi
Manmohan Chandraker
41
153
0
08 Apr 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
68
668
0
16 Dec 2020
Tasks, stability, architecture, and compute: Training more effective
  learned optimizers, and using them to train themselves
Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
Luke Metz
Niru Maheswaranathan
C. Freeman
Ben Poole
Jascha Narain Sohl-Dickstein
112
62
0
23 Sep 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
105
2,516
0
17 Jun 2020
Using a thousand optimization tasks to learn hyperparameter search
  strategies
Using a thousand optimization tasks to learn hyperparameter search strategies
Luke Metz
Niru Maheswaranathan
Ruoxi Sun
C. Freeman
Ben Poole
Jascha Narain Sohl-Dickstein
53
46
0
27 Feb 2020
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
299
11,610
0
11 Jan 2018
Learning to learn by gradient descent by gradient descent
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz
Misha Denil
Sergio Gomez Colmenarejo
Matthew W. Hoffman
David Pfau
Tom Schaul
Brendan Shillingford
Nando de Freitas
88
2,000
0
14 Jun 2016
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