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Understanding DDPM Latent Codes Through Optimal Transport

Understanding DDPM Latent Codes Through Optimal Transport

14 February 2022
Valentin Khrulkov
Gleb Ryzhakov
Andrei Chertkov
Ivan Oseledets
    OT
    DiffM
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Papers citing "Understanding DDPM Latent Codes Through Optimal Transport"

12 / 12 papers shown
Title
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
Sheng-Yu Wang
Aaron Hertzmann
Alexei A. Efros
Jun-Yan Zhu
Richard Zhang
TDI
128
2
0
21 Feb 2025
Out-of-Distribution Detection with a Single Unconditional Diffusion
  Model
Out-of-Distribution Detection with a Single Unconditional Diffusion Model
Alvin Heng
Alexandre H. Thiery
Harold Soh
51
1
0
20 May 2024
Improving Diffusion-Based Generative Models via Approximated Optimal
  Transport
Improving Diffusion-Based Generative Models via Approximated Optimal Transport
Daegyu Kim
Jooyoung Choi
Chaehun Shin
Uiwon Hwang
Sungroh Yoon
OT
45
2
0
08 Mar 2024
Touring sampling with pushforward maps
Touring sampling with pushforward maps
Vivien A. Cabannes
Charles Arnal
26
0
0
23 Nov 2023
Image Embedding for Denoising Generative Models
Image Embedding for Denoising Generative Models
Andrea Asperti
David Evangelista
Samuele Marro
Fabio Merizzi
DiffM
25
9
0
30 Dec 2022
DiffEdit: Diffusion-based semantic image editing with mask guidance
DiffEdit: Diffusion-based semantic image editing with mask guidance
Guillaume Couairon
Jakob Verbeek
Holger Schwenk
Matthieu Cord
DiffM
65
483
0
20 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
31
66
0
11 Oct 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with
  Rectified Flow
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu
Chengyue Gong
Qiang Liu
OOD
55
850
0
07 Sep 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Dongjun Kim
Byeonghu Na
S. Kwon
Dongsoo Lee
Wanmo Kang
Il-Chul Moon
DiffM
213
52
0
27 May 2022
Label-Efficient Semantic Segmentation with Diffusion Models
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
195
517
0
06 Dec 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with
  Data-Dependent Adaptive Prior
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior
Sang-gil Lee
Heeseung Kim
Chaehun Shin
Xu Tan
Chang-Shu Liu
Qi Meng
Tao Qin
Wei Chen
Sung-Hoon Yoon
Tie-Yan Liu
DiffM
29
81
0
11 Jun 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
306
10,368
0
12 Dec 2018
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