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Diffusion Autoencoders: Toward a Meaningful and Decodable Representation

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation

30 November 2021
Konpat Preechakul
Nattanat Chatthee
Suttisak Wizadwongsa
Supasorn Suwajanakorn
    SyDa
    DiffM
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Papers citing "Diffusion Autoencoders: Toward a Meaningful and Decodable Representation"

48 / 298 papers shown
Title
Regeneration Learning: A Learning Paradigm for Data Generation
Regeneration Learning: A Learning Paradigm for Data Generation
Xu Tan
Tao Qin
Jiang Bian
Tie-Yan Liu
Yoshua Bengio
GAN
29
15
0
21 Jan 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Emanuele Aiello
D. Valsesia
E. Magli
DiffM
20
4
0
19 Jan 2023
A Residual Diffusion Model for High Perceptual Quality Codec
  Augmentation
A Residual Diffusion Model for High Perceptual Quality Codec Augmentation
Noor Fathima Ghouse
Jens Petersen
Auke Wiggers
Tianlin Xu
Guillaume Sautière
DiffM
19
21
0
13 Jan 2023
Domain Expansion of Image Generators
Domain Expansion of Image Generators
Yotam Nitzan
Michael Gharbi
Richard Y. Zhang
Taesung Park
Jun-Yan Zhu
Daniel Cohen-Or
Eli Shechtman
22
16
0
12 Jan 2023
Leveraging Diffusion For Strong and High Quality Face Morphing Attacks
Leveraging Diffusion For Strong and High Quality Face Morphing Attacks
Zander Blasingame
Chen Liu
DiffM
11
14
0
10 Jan 2023
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model
Dan Bigioi
Shubhajit Basak
Michał Stypułkowski
Maciej Ziȩba
H. Jordan
R. Mcdonnell
Peter Corcoran
DiffM
VGen
19
34
0
10 Jan 2023
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation
Michal Stypulkowski
Konstantinos Vougioukas
Sen He
Maciej Ziȩba
Stavros Petridis
M. Pantic
DiffM
11
116
0
06 Jan 2023
DiffFace: Diffusion-based Face Swapping with Facial Guidance
DiffFace: Diffusion-based Face Swapping with Facial Guidance
Kihong Kim
Yunho Kim
Seokju Cho
Junyoung Seo
Jisu Nam
Kychul Lee
Seung Wook Kim
Kwanghee Lee
DiffM
13
51
0
27 Dec 2022
Unsupervised Representation Learning from Pre-trained Diffusion
  Probabilistic Models
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models
Zijian Zhang
Zhou Zhao
Zhijie Lin
DiffM
24
51
0
26 Dec 2022
Uncovering the Disentanglement Capability in Text-to-Image Diffusion
  Models
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
Qiucheng Wu
Yujian Liu
Handong Zhao
Ajinkya Kale
T. Bui
Tong Yu
Zhe-nan Lin
Yang Zhang
Shiyu Chang
DiffM
CoGe
14
96
0
16 Dec 2022
Rodin: A Generative Model for Sculpting 3D Digital Avatars Using
  Diffusion
Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
Tengfei Wang
Bo Zhang
Ting Zhang
Shuyang Gu
Jianmin Bao
...
Jingjing Shen
Dong Chen
Fang Wen
Qifeng Chen
B. Guo
28
279
0
12 Dec 2022
Diffusion Guided Domain Adaptation of Image Generators
Diffusion Guided Domain Adaptation of Image Generators
Kunpeng Song
Ligong Han
Bingchen Liu
Dimitris N. Metaxas
Ahmed Elgammal
DiffM
21
34
0
08 Dec 2022
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video
  Editing via Disentangled Video Encoding
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
Gyeongman Kim
Hajin Shim
Hyunsung Kim
Yunjey Choi
Junho Kim
Eunho Yang
DiffM
VGen
26
30
0
06 Dec 2022
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models
Naoki Matsunaga
Masato Ishii
Akio Hayakawa
Kenji Suzuki
T. Narihira
DiffM
38
13
0
05 Dec 2022
Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion
  Models
Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models
Nithin Gopalakrishnan Nair
W. G. C. Bandara
Vishal M. Patel
DiffM
4
5
0
01 Dec 2022
Dimensionality-Varying Diffusion Process
Dimensionality-Varying Diffusion Process
Han Zhang
Ruili Feng
Zhantao Yang
Lianghua Huang
Yu Liu
Yifei Zhang
Yujun Shen
Deli Zhao
Jingren Zhou
Fan Cheng
DiffM
19
10
0
29 Nov 2022
Latent Space Diffusion Models of Cryo-EM Structures
Latent Space Diffusion Models of Cryo-EM Structures
Karsten Kreis
Tim Dockhorn
Zihao Li
Ellen D. Zhong
DiffM
16
15
0
25 Nov 2022
Mutual Information Learned Regressor: an Information-theoretic Viewpoint
  of Training Regression Systems
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems
Jirong Yi
Q. Zhang
Zhengbo Chen
Qiaoan Liu
Weizhuo Shao
Yusen He
Yao Wang
SSL
23
0
0
23 Nov 2022
Conffusion: Confidence Intervals for Diffusion Models
Conffusion: Confidence Intervals for Diffusion Models
Eliahu Horwitz
Yedid Hoshen
DiffM
16
28
0
17 Nov 2022
DeS3: Adaptive Attention-driven Self and Soft Shadow Removal using ViT
  Similarity
DeS3: Adaptive Attention-driven Self and Soft Shadow Removal using ViT Similarity
Yeying Jin
W. Ye
Wenhan Yang
Yuan. Yuan
R. Tan
DiffM
27
25
0
15 Nov 2022
From Points to Functions: Infinite-dimensional Representations in
  Diffusion Models
From Points to Functions: Infinite-dimensional Representations in Diffusion Models
Sarthak Mittal
Guillaume Lajoie
Stefan Bauer
Arash Mehrjou
DiffM
12
30
0
25 Oct 2022
Representation Learning with Diffusion Models
Representation Learning with Diffusion Models
Jeremias Traub
DiffM
17
8
0
20 Oct 2022
Diffusion Models already have a Semantic Latent Space
Diffusion Models already have a Semantic Latent Space
Mingi Kwon
Jaeseok Jeong
Youngjung Uh
15
247
0
20 Oct 2022
Self-Guided Diffusion Models
Self-Guided Diffusion Models
Vincent Tao Hu
David W. Zhang
Yuki M. Asano
Gertjan J. Burghouts
Cees G. M. Snoek
24
31
0
12 Oct 2022
LION: Latent Point Diffusion Models for 3D Shape Generation
LION: Latent Point Diffusion Models for 3D Shape Generation
Xiaohui Zeng
Arash Vahdat
Francis Williams
Zan Gojcic
Or Litany
Sanja Fidler
Karsten Kreis
DiffM
44
484
0
12 Oct 2022
Unifying Diffusion Models' Latent Space, with Applications to
  CycleDiffusion and Guidance
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance
Chen Henry Wu
Fernando De la Torre
DiffM
17
66
0
11 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
38
104
0
11 Oct 2022
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
39
26
0
10 Oct 2022
Efficient Diffusion Models for Vision: A Survey
Efficient Diffusion Models for Vision: A Survey
Anwaar Ulhaq
Naveed Akhtar
MedIm
32
59
0
07 Oct 2022
On Distillation of Guided Diffusion Models
On Distillation of Guided Diffusion Models
Chenlin Meng
Robin Rombach
Ruiqi Gao
Diederik P. Kingma
Stefano Ermon
Jonathan Ho
Tim Salimans
VLM
DiffM
14
491
0
06 Oct 2022
Mutual Information Learned Classifiers: an Information-theoretic
  Viewpoint of Training Deep Learning Classification Systems
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems
Jirong Yi
Q. Zhang
Zhenji Chen
Qiaoan Liu
Weizhuo Shao
SSL
FedML
18
3
0
21 Sep 2022
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained
  Generative Models
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models
Chen Henry Wu
Saman Motamed
Shaunak Srivastava
Fernando De la Torre
VLM
DiffM
6
34
0
14 Sep 2022
Lossy Image Compression with Conditional Diffusion Models
Lossy Image Compression with Conditional Diffusion Models
Ruihan Yang
Stephan Mandt
DiffM
11
124
0
14 Sep 2022
Diffusion Models in Vision: A Survey
Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru
Vlad Hondru
Radu Tudor Ionescu
M. Shah
DiffM
VLM
MedIm
188
1,133
0
10 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
224
1,296
0
02 Sep 2022
Comprehensive Dataset of Face Manipulations for Development and
  Evaluation of Forensic Tools
Comprehensive Dataset of Face Manipulations for Development and Evaluation of Forensic Tools
Brian DeCann
K. Trapeznikov
CVBM
19
2
0
24 Aug 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
32
1,821
0
01 Jun 2022
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
171
49
0
30 May 2022
Accelerating Diffusion Models via Early Stop of the Diffusion Process
Accelerating Diffusion Models via Early Stop of the Diffusion Process
Zhaoyang Lyu
Xu Xudong
Ceyuan Yang
Dahua Lin
Bo Dai
DiffM
193
92
0
25 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLM
DiffM
67
6,622
0
13 Apr 2022
The Swiss Army Knife for Image-to-Image Translation: Multi-Task
  Diffusion Models
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
J. Wolleb
Robin Sandkühler
Florentin Bieder
Philippe C. Cattin
MedIm
DiffM
16
32
0
06 Apr 2022
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
Frederik Pahde
Maximilian Dreyer
Leander Weber
Moritz Weckbecker
Christopher J. Anders
Thomas Wiegand
Wojciech Samek
Sebastian Lapuschkin
55
7
0
07 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
20
114
0
02 Jan 2022
Diffusion-Based Representation Learning
Diffusion-Based Representation Learning
K. Abstreiter
Sarthak Mittal
Stefan Bauer
Bernhard Schölkopf
Arash Mehrjou
DiffM
10
55
0
29 May 2021
VideoGPT: Video Generation using VQ-VAE and Transformers
VideoGPT: Video Generation using VQ-VAE and Transformers
Wilson Yan
Yunzhi Zhang
Pieter Abbeel
A. Srinivas
ViT
VGen
242
484
0
20 Apr 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
172
719
0
02 Mar 2021
Structure by Architecture: Structured Representations without
  Regularization
Structure by Architecture: Structured Representations without Regularization
Felix Leeb
Giulia Lanzillotta
Yashas Annadani
M. Besserve
Stefan Bauer
Bernhard Schölkopf
OOD
CML
27
8
0
14 Jun 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,320
0
12 Dec 2018
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