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Unsupervised Representation Learning from Pre-trained Diffusion
  Probabilistic Models

Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models

26 December 2022
Zijian Zhang
Zhou Zhao
Zhijie Lin
    DiffM
ArXivPDFHTML

Papers citing "Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models"

12 / 12 papers shown
Title
Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts
Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts
Yu Cao
Zengqun Zhao
Ioannis Patras
Shaogang Gong
DiffM
48
0
0
20 Mar 2025
Towards Dynamic Neural Communication and Speech Neuroprosthesis Based on Viseme Decoding
Ji-Ha Park
Seo-Hyun Lee
Soowon Kim
Seong-Whan Lee
43
0
0
28 Jan 2025
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
Yeongmin Kim
Kwanghyeon Lee
Minsang Park
Byeonghu Na
Il-Chul Moon
DiffM
44
2
0
27 May 2024
Disentangling representations of retinal images with generative models
Disentangling representations of retinal images with generative models
Sarah Muller
Lisa M. Koch
Hendrik P. A. Lensch
Philipp Berens
MedIm
32
3
0
29 Feb 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Wasu Top Piriyakulkij
Yingheng Wang
Volodymyr Kuleshov
DiffM
37
1
0
05 Jan 2024
High-Fidelity Diffusion-based Image Editing
High-Fidelity Diffusion-based Image Editing
Chen Hou
Guoqiang Wei
Zhibo Chen
DiffM
32
3
0
25 Dec 2023
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG
Soowon Kim
Young-Eun Lee
Seo-Hyun Lee
Seong-Whan Lee
DiffM
23
16
0
26 Jul 2023
DiffuseGAE: Controllable and High-fidelity Image Manipulation from
  Disentangled Representation
DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation
Yi Leng
Qiangjuan Huang
Zhiyuan Wang
Yangyang Liu
Haoyu Zhang
DiffM
37
5
0
12 Jul 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey
Emerging Synergies in Causality and Deep Generative Models: A Survey
Guanglin Zhou
Shaoan Xie
Guang-Yuan Hao
Shiming Chen
Erdun Gao
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Anton van den Hengel
AI4CE
55
11
0
29 Jan 2023
Diffusion Probabilistic Models for 3D Point Cloud Generation
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
180
721
0
02 Mar 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
282
10,354
0
12 Dec 2018
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
239
2,550
0
25 Jan 2016
1