Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry

24 July 2023

Papers citing "Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry"

47 / 47 papers shown

Title
The Dual Power of Interpretable Token Embeddings: Jailbreaking Attacks and Defenses for Diffusion Model Unlearning Siyi Chen Yimeng Zhang Sijia Liu Q. Qu AAML 52 0 0 30 Apr 2025
Image Interpolation with Score-based Riemannian Metrics of Diffusion Models Shinnosuke Saito Takashi Matsubara DiffM 77 1 0 28 Apr 2025
Text-to-Image Alignment in Denoising-Based Models through Step Selection P. Grimal Hervé Le Borgne Olivier Ferret DiffM EGVM 38 0 0 24 Apr 2025
"I Know It When I See It": Mood Spaces for Connecting and Expressing Visual Concepts Huzheng Yang Katherine Xu Michael D. Grossberg Yutong Bai Jianbo Shi 21 0 0 21 Apr 2025
Emergence and Evolution of Interpretable Concepts in Diffusion Models Berk Tinaz Zalan Fabian Mahdi Soltanolkotabi DiffM 14 0 0 21 Apr 2025
Patronus: Bringing Transparency to Diffusion Models with Prototypes Nina Weng Aasa Feragen Siavash Bigdeli DiffM 34 0 0 28 Mar 2025
Progressive Prompt Detailing for Improved Alignment in Text-to-Image Generative Models Ketan Suhaas Saichandran Xavier Thomas Prakhar Kaushik Deepti Ghadiyaram DiffM 71 0 0 22 Mar 2025
TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation Victor Shea-Jay Huang Le Zhuo Yi Xin Zhaokai Wang Peng Gao Hongsheng Li DiffM 33 1 0 10 Mar 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization Xavier Thomas Deepti Ghadiyaram DiffM 84 0 0 09 Mar 2025
CLAD: Constrained Latent Action Diffusion for Vision-Language Procedure Planning Lei Shi Andreas Bulling DiffM 45 1 0 09 Mar 2025
Riemann $^2$ : Learning Riemannian Submanifolds from Riemannian Data Leonel Rozo Miguel González-Duque Noémie Jaquier Søren Hauberg 39 1 0 07 Mar 2025
On the Vulnerability of Concept Erasure in Diffusion Models Lucas Beerens Alex D. Richardson K. Zhang Dongdong Chen DiffM 60 2 0 24 Feb 2025
Generative Modeling on Lie Groups via Euclidean Generalized Score Matching Marco Bertolini Tuan Le Djork-Arné Clevert DiffM 76 0 0 04 Feb 2025
Assessing the use of Diffusion models for motion artifact correction in brain MRI Paolo Angella Vito Paolo Pastore Matteo Santacesaria MedIm DiffM 53 1 0 03 Feb 2025
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Bartosz Cywiñski Kamil Deja DiffM 55 6 0 29 Jan 2025
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation Mingjia Li Shuang Li Tongrui Su Longhui Yuan Jian Liang Wei Li DiffM 28 0 0 03 Jan 2025
Unsupervised Region-Based Image Editing of Denoising Diffusion Models Z. Li Yue Song R. Tao Xiaohong Jia Yao Zhao Wei Wang DiffM 73 0 0 17 Dec 2024
Counterfactual Explanations via Riemannian Latent Space Traversal Paraskevas Pegios Aasa Feragen Andreas Abildtrup Hansen Georgios Arvanitidis BDL 19 1 0 04 Nov 2024
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders Viacheslav Surkov Chris Wendler Mikhail Terekhov Justin Deschenaux Robert West Çağlar Gülçehre VLM 31 13 0 28 Oct 2024
HARIVO: Harnessing Text-to-Image Models for Video Generation Mingi Kwon Seoung Wug Oh Yang Zhou Difan Liu Joon-Young Lee Haoran Cai Baqiao Liu Feng Liu Youngjung Uh VGen 28 0 0 10 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 14 0 0 07 Oct 2024
Latent Abstractions in Generative Diffusion Models Giulio Franzese Mattia Martini Giulio Corallo Paolo Papotti Pietro Michiardi DiffM 21 0 0 04 Oct 2024
Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models Deepak Sridhar Nuno Vasconcelos DiffM 21 0 0 25 Sep 2024
Multi-task SAR Image Processing via GAN-based Unsupervised Manipulation Xuran Hu Mingzhe Zhu L. Durlofsky Zhenpeng Feng Ljubisa Stankovic GAN 28 0 0 02 Aug 2024
Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention Mengkang Hu DiffM 20 7 0 01 Aug 2024
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis Haeil Lee Han S. Lee Seoyeon Gye Junmo Kim DiffM 24 0 0 16 Jul 2024
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models Jaehoon Hahm Junho Lee Sunghyun Kim Joonseok Lee DiffM 14 1 0 16 Jul 2024
(Deep) Generative Geodesics Beomsu Kim Michael Puthawala Jong Chul Ye Emanuele Sansone 23 0 0 15 Jul 2024
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Models Mengdan Zhu Raasikh Kanjiani Jiahui Lu Andrew Choi Qirui Ye Liang Zhao DiffM 21 1 0 21 Jun 2024
Interpreting the Weight Space of Customized Diffusion Models Amil Dravid Yossi Gandelsman Kuan-Chieh Jackson Wang Rameen Abdal Gordon Wetzstein Alexei A. Efros Kfir Aberman 23 9 0 13 Jun 2024
DiffusionPID: Interpreting Diffusion via Partial Information Decomposition Shaurya Dewan Rushikesh Zawar Prakanshul Saxena Yingshan Chang Andrew F. Luo Yonatan Bisk DiffM 22 3 0 07 Jun 2024
Varying Manifolds in Diffusion: From Time-varying Geometries to Visual Saliency Junhao Chen Manyi Li Zherong Pan Xifeng Gao Changhe Tu DiffM 16 2 0 07 Jun 2024
Learning Discrete Concepts in Latent Hierarchical Models Lingjing Kong Guan-Hong Chen Biwei Huang Eric P. Xing Yuejie Chi Kun Zhang 39 4 0 01 Jun 2024
Global Counterfactual Directions Bartlomiej Sobieski P. Biecek DiffM 45 4 0 18 Apr 2024
DreamWalk: Style Space Exploration using Diffusion Guidance Michelle Shu Charles Herrmann Richard Strong Bowen Forrester Cole Ramin Zabih AI4TS DiffM 27 2 0 04 Apr 2024
GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models Yusuf Dalva Hidir Yesiltepe Pinar Yanardag DiffM 12 2 0 28 Mar 2024
Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models Pablo Marcos-Manchón Roberto Alcover-Couso Juan C. Sanmiguel Jose M. Martínez VLM 29 18 0 21 Mar 2024
Latent Dataset Distillation with Diffusion Models Brian B. Moser Federico Raue Sebastián M. Palacio Stanislav Frolov Andreas Dengel DD 30 5 0 06 Mar 2024
NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models Yusuf Dalva Pinar Yanardag DiffM 19 18 0 08 Dec 2023
Resolution Chromatography of Diffusion Models Juno Hwang Yong-Hyun Park Junghyo Jo DiffM 11 1 0 07 Dec 2023
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation Hang Li Chengzhi Shen Philip H. S. Torr Volker Tresp Jindong Gu 11 7 0 28 Nov 2023
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models Rohit Gandikota Joanna Materzyñska Tingrui Zhou Antonio Torralba David Bau DiffM 22 49 0 20 Nov 2023
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models Jiarui Xu Sifei Liu Arash Vahdat Wonmin Byeon Xiaolong Wang Shalini De Mello VLM 198 318 0 08 Mar 2023
Human Motion Diffusion Model Guy Tevet Sigal Raab Brian Gordon Yonatan Shafir Daniel Cohen-Or Amit H. Bermano DiffM VGen 177 713 0 29 Sep 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 200 1,330 0 24 Jan 2022
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 187 508 0 06 Dec 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018