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. 2106.15282
  4. Cited By
Cascaded Diffusion Models for High Fidelity Image Generation
v1v2v3 (latest)

Cascaded Diffusion Models for High Fidelity Image Generation

30 May 2021
Jonathan Ho
Chitwan Saharia
William Chan
David J. Fleet
Mohammad Norouzi
Tim Salimans
ArXiv (abs)PDFHTML

Papers citing "Cascaded Diffusion Models for High Fidelity Image Generation"

24 / 874 papers shown
Title
Generating High Fidelity Data from Low-density Regions using Diffusion
  Models
Generating High Fidelity Data from Low-density Regions using Diffusion Models
Vikash Sehwag
C. Hazirbas
Albert Gordo
Firat Ozgenel
Cristian Canton Ferrer
DiffM
97
71
0
31 Mar 2022
Denoising Likelihood Score Matching for Conditional Score-based Data
  Generation
Denoising Likelihood Score Matching for Conditional Score-based Data Generation
Chen-Hao Chao
Wei-Fang Sun
Bo Wun Cheng
Yi-Chen Lo
Chia-Che Chang
Yu-Lun Liu
Yu-Lin Chang
Chia-Ping Chen
Chun-Yi Lee
DiffM
73
42
0
27 Mar 2022
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Oran Gafni
Adam Polyak
Oron Ashual
Shelly Sheynin
Devi Parikh
Yaniv Taigman
DiffM
97
526
0
24 Mar 2022
Image Super-Resolution With Deep Variational Autoencoders
Image Super-Resolution With Deep Variational Autoencoders
Darius Chira
Ilian Haralampiev
Ole Winther
Andrea Dittadi
Valentin Liévin
DRL
83
33
0
17 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications
A Survey on Deep Graph Generation: Methods and Applications
Yanqiao Zhu
Yuanqi Du
Yinkai Wang
Yichen Xu
Jieyu Zhang
Qiang Liu
Shu Wu
3DVGNN
124
75
0
13 Mar 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through
  Sample Quality
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality
Daniel Watson
William Chan
Jonathan Ho
Mohammad Norouzi
DiffMBDL
98
183
0
11 Feb 2022
MaskGIT: Masked Generative Image Transformer
MaskGIT: Masked Generative Image Transformer
Huiwen Chang
Han Zhang
Lu Jiang
Ce Liu
William T. Freeman
ViT
161
696
0
08 Feb 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer
Katja Schwarz
Andreas Geiger
288
514
0
01 Feb 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from
  Low-Dimensional Latents
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey
Avideep Mukherjee
Piyush Rai
Abhishek Kumar
DiffM
126
121
0
02 Jan 2022
Multimodal Image Synthesis and Editing: The Generative AI Era
Multimodal Image Synthesis and Editing: The Generative AI Era
Fangneng Zhan
Yingchen Yu
Rongliang Wu
Jiahui Zhang
Shijian Lu
Lingjie Liu
Adam Kortylewski
Christian Theobalt
Eric Xing
EGVM
198
51
0
27 Dec 2021
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal
  Derivatives
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives
Hideyuki Tachibana
Mocho Go
Muneyoshi Inahara
Yotaro Katayama
Yotaro Watanabe
DiffM
78
3
0
26 Dec 2021
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
615
15,855
0
20 Dec 2021
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
471
3,641
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
126
562
0
15 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin
  Diffusion
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
122
237
0
14 Dec 2021
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion
  Model
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model
Boah Kim
Inhwa Han
Jong Chul Ye
MedImDiffM
67
69
0
09 Dec 2021
Global Context with Discrete Diffusion in Vector Quantised Modelling for
  Image Generation
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation
Minghui Hu
Yujie Wang
Tat-Jen Cham
Jianfei Yang
P.N.Suganthan
DiffM
63
43
0
03 Dec 2021
SegDiff: Image Segmentation with Diffusion Probabilistic Models
SegDiff: Image Segmentation with Diffusion Probabilistic Models
Tomer Amit
Tal Shaharbany
Eliya Nachmani
Lior Wolf
DiffM
131
308
0
01 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul
Nattanat Chatthee
Suttisak Wizadwongsa
Supasorn Suwajanakorn
SyDaDiffM
131
434
0
30 Nov 2021
Vector Quantized Diffusion Model for Text-to-Image Synthesis
Vector Quantized Diffusion Model for Text-to-Image Synthesis
Shuyang Gu
Dong Chen
Jianmin Bao
Fang Wen
Bo Zhang
Dongdong Chen
Lu Yuan
B. Guo
DiffM
229
800
0
29 Nov 2021
Unleashing Transformers: Parallel Token Prediction with Discrete
  Absorbing Diffusion for Fast High-Resolution Image Generation from
  Vector-Quantized Codes
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes
Sam Bond-Taylor
P. Hessey
Hiroshi Sasaki
T. Breckon
Chris G. Willcocks
DiffM
126
72
0
24 Nov 2021
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffMVLM
496
1,668
0
10 Nov 2021
Diffusion-Based Representation Learning
Diffusion-Based Representation Learning
K. Abstreiter
Sarthak Mittal
Stefan Bauer
Bernhard Schölkopf
Arash Mehrjou
DiffM
87
58
0
29 May 2021
Creativity and Machine Learning: A Survey
Creativity and Machine Learning: A Survey
Giorgio Franceschelli
Mirco Musolesi
VLMAI4CE
129
43
0
06 Apr 2021
Previous
123...161718