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From Points to Functions: Infinite-dimensional Representations in
  Diffusion Models

From Points to Functions: Infinite-dimensional Representations in Diffusion Models

25 October 2022
Sarthak Mittal
Guillaume Lajoie
Stefan Bauer
Arash Mehrjou
    DiffM
ArXivPDFHTML

Papers citing "From Points to Functions: Infinite-dimensional Representations in Diffusion Models"

14 / 14 papers shown
Title
Diffusion Model as Representation Learner
Diffusion Model as Representation Learner
Xingyi Yang
Xinchao Wang
DiffM
25
52
0
21 Aug 2023
Zero-shot Generation of Training Data with Denoising Diffusion
  Probabilistic Model for Handwritten Chinese Character Recognition
Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition
Dongnan Gui
Kai Chen
Haisong Ding
Qiang Huo
VLM
DiffM
16
14
0
25 May 2023
Intriguing properties of synthetic images: from generative adversarial
  networks to diffusion models
Intriguing properties of synthetic images: from generative adversarial networks to diffusion models
Riccardo Corvi
D. Cozzolino
Giovanni Poggi
Koki Nagano
L. Verdoliva
DiffM
27
88
0
13 Apr 2023
Deep Generative Modeling with Backward Stochastic Differential Equations
Deep Generative Modeling with Backward Stochastic Differential Equations
Xingcheng Xu
PINN
21
0
0
08 Apr 2023
Denoising Diffusion Autoencoders are Unified Self-supervised Learners
Denoising Diffusion Autoencoders are Unified Self-supervised Learners
Weilai Xiang
Hongyu Yang
Di Huang
Yunhong Wang
DiffM
12
69
0
17 Mar 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models
Stochastic Segmentation with Conditional Categorical Diffusion Models
L. Zbinden
Lars Doorenbos
Theodoros Pissas
Adrian Thomas Huber
Raphael Sznitman
Pablo Márquez-Neila
DiffM
32
30
0
15 Mar 2023
VideoFusion: Decomposed Diffusion Models for High-Quality Video
  Generation
VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
Zhengxiong Luo
Dayou Chen
Yingya Zhang
Yan Huang
Liangsheng Wang
Yujun Shen
Deli Zhao
Jinren Zhou
Tien-Ping Tan
DiffM
VGen
132
308
0
15 Mar 2023
Continuous-Time Functional Diffusion Processes
Continuous-Time Functional Diffusion Processes
Giulio Franzese
Dario Rossi
Simone Rossi
Markus Heinonen
Maurizio Filippone
Pietro Michiardi
29
24
0
01 Mar 2023
Directed Diffusion: Direct Control of Object Placement through Attention
  Guidance
Directed Diffusion: Direct Control of Object Placement through Attention Guidance
W. Ma
J. P. Lewis
Avisek Lahiri
Thomas Leung
W. Kleijn
DiffM
16
65
0
25 Feb 2023
Representation Learning with Diffusion Models
Representation Learning with Diffusion Models
Jeremias Traub
DiffM
22
8
0
20 Oct 2022
Pathway to Future Symbiotic Creativity
Pathway to Future Symbiotic Creativity
Yi-Ting Guo
Qi-fei Liu
Jie Chen
Wei Xue
Jie Fu
...
Fernando Rosas
Jeffrey Shaw
Xing Wu
Jiji Zhang
Jianliang Xu
21
0
0
18 Aug 2022
Diffusion Models for Video Prediction and Infilling
Diffusion Models for Video Prediction and Infilling
Tobias Hoppe
Arash Mehrjou
Stefan Bauer
Didrik Nielsen
Andrea Dittadi
DiffM
VGen
17
130
0
15 Jun 2022
Knowledge Distillation in Iterative Generative Models for Improved
  Sampling Speed
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
Eric Luhman
Troy Luhman
DiffM
184
259
0
07 Jan 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,367
0
09 Mar 2020
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