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Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models

Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models

17 June 2025
Tian Xia
Fabio De Sousa Ribeiro
Rajat Rasal
Avinash Kori
Raghav Mehta
Ben Glocker
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models"

20 / 20 papers shown
Title
PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion
Amar Kumar
Anita Kriz
Mohammad Havaei
Tal Arbel
MedIm
93
3
0
28 Feb 2025
Counterfactual Generative Modeling with Variational Causal Inference
Counterfactual Generative Modeling with Variational Causal Inference
Yulun Wu
Louie McConnell
Claudia Iriondo
CMLBDL
97
3
0
16 Oct 2024
LocInv: Localization-aware Inversion for Text-Guided Image Editing
LocInv: Localization-aware Inversion for Text-Guided Image Editing
Chuanming Tang
Kai Wang
Fei Yang
Joost van de Weijer
DiffM
67
5
0
02 May 2024
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion
  Guidance
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance
Dazhong Shen
Guanglu Song
Zeyue Xue
Fu-Yun Wang
Yu Liu
DiffM
69
18
0
08 Apr 2024
Benchmarking Counterfactual Image Generation
Benchmarking Counterfactual Image Generation
Thomas Melistas
Nikos Spyrou
Nefeli Gkouti
Pedro Sanchez
Athanasios Vlontzos
Yannis Panagakis
G. Papanastasiou
Sotirios A. Tsaftaris
EGVMCML
82
11
0
29 Mar 2024
Measuring axiomatic soundness of counterfactual image models
Measuring axiomatic soundness of counterfactual image models
M. Monteiro
Fabio De Sousa Ribeiro
Nick Pawlowski
Daniel Coelho De Castro
Ben Glocker
101
29
0
02 Mar 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
177
4,146
1
10 Feb 2023
Pearl Causal Hierarchy on Image Data: Intricacies & Challenges
Pearl Causal Hierarchy on Image Data: Intricacies & Challenges
Matej Zečević
Moritz Willig
Devendra Singh Dhami
Kristian Kersting
51
2
0
23 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
143
507
0
20 Oct 2022
Neural Causal Models for Counterfactual Identification and Estimation
Neural Causal Models for Counterfactual Identification and Estimation
K. Xia
Yushu Pan
Elias Bareinboim
CML
91
38
0
30 Sep 2022
Causal Machine Learning for Healthcare and Precision Medicine
Causal Machine Learning for Healthcare and Precision Medicine
Pedro Sanchez
J. Voisey
Tian Xia
Hannah I. Watson
Alison Q. OÑeil
Sotirios A. Tsaftaris
OODCML
79
115
0
23 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
VLMDiffM
410
6,897
0
13 Apr 2022
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
241
7,933
0
11 May 2021
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them
  on Images
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
R. Child
BDLVLM
184
351
0
20 Nov 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
286
7,454
0
06 Oct 2020
Evaluating and Mitigating Bias in Image Classifiers: A Causal
  Perspective Using Counterfactuals
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
Saloni Dash
V. Balasubramanian
Amit Sharma
CML
61
70
0
17 Sep 2020
Normalizing Flows for Probabilistic Modeling and Inference
Normalizing Flows for Probabilistic Modeling and Inference
George Papamakarios
Eric T. Nalisnick
Danilo Jimenez Rezende
S. Mohamed
Balaji Lakshminarayanan
TPMAI4CE
207
1,711
0
05 Dec 2019
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDaDiffM
258
3,954
0
12 Jul 2019
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
377
11,877
0
11 Jan 2018
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
306
7,005
0
12 Mar 2015
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