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Stable Target Field for Reduced Variance Score Estimation in Diffusion
  Models

Stable Target Field for Reduced Variance Score Estimation in Diffusion Models

1 February 2023
Yilun Xu
Shangyuan Tong
Tommi Jaakkola
    DiffM
ArXivPDFHTML

Papers citing "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models"

16 / 16 papers shown
Title
Generalization through variance: how noise shapes inductive biases in diffusion models
Generalization through variance: how noise shapes inductive biases in diffusion models
John J. Vastola
DiffM
398
3
0
16 Apr 2025
Denoising Task Difficulty-based Curriculum for Training Diffusion Models
Denoising Task Difficulty-based Curriculum for Training Diffusion Models
Jin-Young Kim
Hyojun Go
Soonwoo Kwon
Hyun-Gyoon Kim
DiffM
104
6
0
15 Mar 2024
Poisson Flow Generative Models
Poisson Flow Generative Models
Yilun Xu
Ziming Liu
M. Tegmark
Tommi Jaakkola
116
82
0
22 Sep 2022
Generative Modelling With Inverse Heat Dissipation
Generative Modelling With Inverse Heat Dissipation
Severi Rissanen
Markus Heinonen
Arno Solin
DiffM
35
112
0
21 Jun 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation
  Generation
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
Minkai Xu
Lantao Yu
Yang Song
Chence Shi
Stefano Ermon
Jian Tang
BDL
DiffM
116
502
0
06 Mar 2022
GLIDE: Towards Photorealistic Image Generation and Editing with
  Text-Guided Diffusion Models
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol
Prafulla Dhariwal
Aditya A. Ramesh
Pranav Shyam
Pamela Mishkin
Bob McGrew
Ilya Sutskever
Mark Chen
249
3,552
0
20 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao
Karsten Kreis
Arash Vahdat
DiffM
67
545
0
15 Dec 2021
Learning Gradient Fields for Molecular Conformation Generation
Learning Gradient Fields for Molecular Conformation Generation
Chence Shi
Shitong Luo
Minkai Xu
Jian Tang
DiffM
AI4CE
66
214
0
09 May 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
235
733
0
02 Mar 2021
Improved Techniques for Training Score-Based Generative Models
Improved Techniques for Training Score-Based Generative Models
Yang Song
Stefano Ermon
DiffM
156
1,135
0
16 Jun 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
124
1,873
0
11 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDa
DiffM
186
3,803
0
12 Jul 2019
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
401
8,999
0
10 Jun 2016
Importance Weighted Autoencoders
Importance Weighted Autoencoders
Yuri Burda
Roger C. Grosse
Ruslan Salakhutdinov
BDL
221
1,240
0
01 Sep 2015
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly
  Convex Composite Objectives
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
Aaron Defazio
Francis R. Bach
Simon Lacoste-Julien
ODL
110
1,817
0
01 Jul 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
378
16,962
0
20 Dec 2013
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