ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.01400
  4. Cited By
Sequential Data Generation with Groupwise Diffusion Process

Sequential Data Generation with Groupwise Diffusion Process

2 October 2023
Sangyun Lee
Gayoung Lee
Hyunsung Kim
Junho Kim
Youngjung Uh
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Sequential Data Generation with Groupwise Diffusion Process"

20 / 20 papers shown
Title
f-DM: A Multi-stage Diffusion Model via Progressive Signal
  Transformation
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
Jiatao Gu
Shuangfei Zhai
Yizhe Zhang
Miguel Angel Bautista
J. Susskind
DiffM
94
28
0
10 Oct 2022
NashAE: Disentangling Representations through Adversarial Covariance
  Minimization
NashAE: Disentangling Representations through Adversarial Covariance Minimization
Eric C. Yeats
Frank Liu
David A. P. Womble
Hai Helen Li
CML
73
10
0
21 Sep 2022
Blurring Diffusion Models
Blurring Diffusion Models
Emiel Hoogeboom
Tim Salimans
DiffM
80
81
0
12 Sep 2022
Soft Diffusion: Score Matching for General Corruptions
Soft Diffusion: Score Matching for General Corruptions
Giannis Daras
M. Delbracio
Hossein Talebi
A. Dimakis
P. Milanfar
DiffM
104
110
0
12 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
195
1,003
0
07 Sep 2022
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
Arpit Bansal
Eitan Borgnia
Hong-Min Chu
Jie S. Li
Hamid Kazemi
Furong Huang
Micah Goldblum
Jonas Geiping
Tom Goldstein
VLMDiffM
75
278
0
19 Aug 2022
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image
  Synthesis
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis
Sangyun Lee
Hyungjin Chung
Jaehyeon Kim
Jong Chul Ye
DiffM
70
46
0
16 Jul 2022
Generative Modelling With Inverse Heat Dissipation
Generative Modelling With Inverse Heat Dissipation
Severi Rissanen
Markus Heinonen
Arno Solin
DiffM
66
117
0
21 Jun 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
201
2,018
0
01 Jun 2022
Video Diffusion Models
Video Diffusion Models
Jonathan Ho
Tim Salimans
Alexey A. Gritsenko
William Chan
Mohammad Norouzi
David J. Fleet
DiffMVGen
204
1,626
0
07 Apr 2022
Perception Prioritized Training of Diffusion Models
Perception Prioritized Training of Diffusion Models
Jooyoung Choi
Jungbeom Lee
Chaehun Shin
Sungwon Kim
Hyunwoo J. Kim
Sung-Hoon Yoon
DiffM
104
250
0
01 Apr 2022
Structured Denoising Diffusion Models in Discrete State-Spaces
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin
Daniel D. Johnson
Jonathan Ho
Daniel Tarlow
Rianne van den Berg
DiffM
176
945
0
07 Jul 2021
Cascaded Diffusion Models for High Fidelity Image Generation
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho
Chitwan Saharia
William Chan
David J. Fleet
Mohammad Norouzi
Tim Salimans
164
1,235
0
30 May 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
241
7,933
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
344
6,551
0
26 Nov 2020
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDaDiffM
258
3,954
0
12 Jul 2019
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGeOOD
62
1,356
0
16 Feb 2018
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
306
7,005
0
12 Mar 2015
MADE: Masked Autoencoder for Distribution Estimation
MADE: Masked Autoencoder for Distribution Estimation
M. Germain
Karol Gregor
Iain Murray
Hugo Larochelle
OODSyDaUQCV
175
873
0
12 Feb 2015
A Deep and Tractable Density Estimator
A Deep and Tractable Density Estimator
Benigno Uria
Iain Murray
Hugo Larochelle
BDL
101
194
0
07 Oct 2013
1