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Diffusion-Based Representation Learning

Diffusion-Based Representation Learning

29 May 2021
K. Abstreiter
Sarthak Mittal
Stefan Bauer
Bernhard Schölkopf
Arash Mehrjou
    DiffM
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Papers citing "Diffusion-Based Representation Learning"

11 / 11 papers shown
Title
Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality
Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality
Pramook Khungurn
Sukit Seripanitkarn
Phonphrm Thawatdamrongkit
Supasorn Suwajanakorn
DiffM
68
0
0
30 Apr 2025
Assessing Open-world Forgetting in Generative Image Model Customization
Assessing Open-world Forgetting in Generative Image Model Customization
Héctor Laria
Alex Gomez-Villa
Imad Eddine Marouf
Bogdan Raducanu
Bogdan Raducanu
VLM
DiffM
30
0
0
18 Oct 2024
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
Shikun Feng
Yuyan Ni
Yan Lu
Zhi-Ming Ma
Wei-Ying Ma
Yanyan Lan
34
4
0
14 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Sihyun Yu
Sangkyung Kwak
Huiwon Jang
Jongheon Jeong
Jonathan Huang
Jinwoo Shin
Saining Xie
OCL
68
62
0
09 Oct 2024
Causal Diffusion Autoencoders: Toward Counterfactual Generation via
  Diffusion Probabilistic Models
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models
Aneesh Komanduri
Chengli Zhao
Feng Chen
Xintao Wu
CML
DiffM
30
4
0
27 Apr 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
56
17
0
28 Feb 2024
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
Biwei Huang
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Kun Zhang
AI4CE
42
11
0
29 Jan 2023
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
A. Kazerouni
Ehsan Khodapanah Aghdam
Moein Heidari
Reza Azad
Mohsen Fayyaz
I. Hacihaliloglu
Dorit Merhof
DiffM
MedIm
35
354
0
14 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
14
30
0
25 Oct 2022
Representation Learning with Diffusion Models
Representation Learning with Diffusion Models
Jeremias Traub
DiffM
17
8
0
20 Oct 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
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