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CryoFM: A Flow-based Foundation Model for Cryo-EM Densities

CryoFM: A Flow-based Foundation Model for Cryo-EM Densities

11 October 2024
Yi Zhou
Yilai Li
Jing Yuan
Quanquan Gu
ArXiv (abs)PDFHTML

Papers citing "CryoFM: A Flow-based Foundation Model for Cryo-EM Densities"

28 / 28 papers shown
Title
Solving Inverse Problems in Protein Space Using Diffusion-Based Priors
Solving Inverse Problems in Protein Space Using Diffusion-Based Priors
Axel Levy
E. R. Chan
Sara Fridovich-Keil
Frédéric Poitevin
Ellen D. Zhong
Gordon Wetzstein
DiffM
149
8
0
06 Jun 2024
MAS: Multi-view Ancestral Sampling for 3D motion generation using 2D
  diffusion
MAS: Multi-view Ancestral Sampling for 3D motion generation using 2D diffusion
Roy Kapon
Guy Tevet
Daniel Cohen-Or
Amit H. Bermano
DiffM
78
21
0
23 Oct 2023
Fast Diffusion EM: a diffusion model for blind inverse problems with
  application to deconvolution
Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution
Charles Laroche
Andrés Almansa
Eva Coupeté
DiffM
70
28
0
01 Sep 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
Weijie Gan
Shirin Shoushtari
Yuyang Hu
Jiaming Liu
Hongyu An
Ulugbek S. Kamilov
81
12
0
22 May 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAGMLLM
1.5K
14,761
0
15 Mar 2023
Scalable Diffusion Models with Transformers
Scalable Diffusion Models with Transformers
William S. Peebles
Saining Xie
GNN
122
2,436
0
19 Dec 2022
Parallel Diffusion Models of Operator and Image for Blind Inverse
  Problems
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems
Hyungjin Chung
Jeongsol Kim
Sehui Kim
J. C. Ye
DiffM
99
108
0
19 Nov 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems
Diffusion Posterior Sampling for General Noisy Inverse Problems
Hyungjin Chung
Jeongsol Kim
Michael T. McCann
M. Klasky
J. C. Ye
DiffM
114
862
0
29 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with
  Rectified Flow
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu
Chengyue Gong
Qiang Liu
OOD
220
1,053
0
07 Sep 2022
Elucidating the Design Space of Diffusion-Based Generative Models
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
M. Aittala
Timo Aila
S. Laine
DiffM
228
2,034
0
01 Jun 2022
Denoising Diffusion Restoration Models
Denoising Diffusion Restoration Models
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
302
848
0
27 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
511
15,788
0
20 Dec 2021
Solving Inverse Problems in Medical Imaging with Score-Based Generative
  Models
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Yang Song
Liyue Shen
Lei Xing
Stefano Ermon
DiffMSyDaOffRLMedIm
116
533
0
15 Nov 2021
Hierarchical Transformers Are More Efficient Language Models
Hierarchical Transformers Are More Efficient Language Models
Piotr Nawrot
Szymon Tworkowski
Michał Tyrolski
Lukasz Kaiser
Yuhuai Wu
Christian Szegedy
Henryk Michalewski
80
69
0
26 Oct 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
308
7,971
0
11 May 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffMSyDa
385
6,592
0
26 Nov 2020
Plug-and-Play Image Restoration with Deep Denoiser Prior
Plug-and-Play Image Restoration with Deep Denoiser Prior
Peng Sun
Yawei Li
W. Zuo
Lei Zhang
Luc Van Gool
Radu Timofte
DiffMSupR
109
811
0
31 Aug 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
770
18,408
0
19 Jun 2020
Noisier2Noise: Learning to Denoise from Unpaired Noisy Data
Noisier2Noise: Learning to Denoise from Unpaired Noisy Data
N. Moran
Dan Schmidt
Yu Zhong
Patrick Coady
134
239
0
25 Oct 2019
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
Orest Kupyn
T. Martyniuk
Junru Wu
Zhangyang Wang
3DV
105
890
0
10 Aug 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott
Sergey Edunov
Alexei Baevski
Angela Fan
Sam Gross
Nathan Ng
David Grangier
Michael Auli
VLMFaML
132
3,159
0
01 Apr 2019
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative
  Models
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
Will Grathwohl
Ricky T. Q. Chen
J. Bettencourt
Ilya Sutskever
David Duvenaud
DRL
160
881
0
02 Oct 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
457
5,176
0
19 Jun 2018
The Perception-Distortion Tradeoff
The Perception-Distortion Tradeoff
Yochai Blau
T. Michaeli
SupR
133
820
0
16 Nov 2017
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDLSSLOCL
253
5,082
0
02 Nov 2017
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
367
5,390
0
03 Nov 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSegGAN
488
2,579
0
25 Jan 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
312
7,035
0
12 Mar 2015
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