Unsupervised Discovery of Semantic Latent Directions in Diffusion Models

24 February 2023

Papers citing "Unsupervised Discovery of Semantic Latent Directions in Diffusion Models"

23 / 23 papers shown

Title
Image Interpolation with Score-based Riemannian Metrics of Diffusion Models Shinnosuke Saito Takashi Matsubara DiffM 82 1 0 28 Apr 2025
Latent Diffusion U-Net Representations Contain Positional Embeddings and Anomalies Jonas Loos Lorenz Linhardt 26 0 0 09 Apr 2025
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts E. Z. Zeng Yuhao Chen A. Wong DiffM 26 0 0 25 Oct 2024
Conjuring Semantic Similarity Tian Yu Liu Stefano Soatto DiffM 25 0 0 21 Oct 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 49 1 0 01 Jul 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space Core Francisco Park Maya Okawa Andrew Lee Ekdeep Singh Lubana Hidenori Tanaka 50 6 0 27 Jun 2024
Understanding the Limitations of Diffusion Concept Algebra Through Food E. Z. Zeng Yuhao Chen A. Wong 22 0 0 05 Jun 2024
Uncovering the Text Embedding in Text-to-Image Diffusion Models Huikang Yu Hao Luo Fan Wang Feng Zhao 16 10 0 01 Apr 2024
An Analysis of Human Alignment of Latent Diffusion Models Lorenz Linhardt Marco Morik Sidney Bender Naima Elosegui Borras DiffM 24 3 0 13 Mar 2024
Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion Hila Manor T. Michaeli DiffM 17 25 0 15 Feb 2024
Latent Space Editing in Transformer-Based Flow Matching Vincent Tao Hu David W. Zhang Pascal Mettes Meng Tang Deli Zhao Cees G. M. Snoek 29 29 0 17 Dec 2023
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models Rohit Gandikota Joanna Materzyñska Tingrui Zhou Antonio Torralba David Bau DiffM 30 61 0 20 Nov 2023
Unsupervised Discovery of Interpretable Directions in h-space of Pre-trained Diffusion Models Zijian Zhang Luping Liu Zhijie Lin Yichen Zhu Zhou Zhao DiffM 16 4 0 15 Oct 2023
Flow Factorized Representation Learning Yue Song Thomas Anderson Keller N. Sebe Max Welling DRL OOD 14 3 0 22 Sep 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang G. Koulieris Hubert P. H. Shum DiffM 27 50 0 07 Jun 2023
A Neural Space-Time Representation for Text-to-Image Personalization Yuval Alaluf Elad Richardson G. Metzer Daniel Cohen-Or DiffM 10 94 0 24 May 2023
ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation Dongxu Yue Qin Guo Munan Ning Jiaxi Cui Yuesheng Zhu Liuliang Yuan DiffM 11 11 0 24 May 2023
Training-free Content Injection using h-space in Diffusion Models Jaeseok Jeong Mingi Kwon Youngjung Uh DiffM 8 24 0 27 Mar 2023
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models René Haas Inbar Huberman-Spiegelglas Rotem Mulayoff Stella Graßhof Sami S. Brandt T. Michaeli DiffM 15 39 0 20 Mar 2023
Concept Algebra for (Score-Based) Text-Controlled Generative Models Zihao Wang Lin Gui Jeffrey Negrea Victor Veitch CoGe DiffM 8 16 0 07 Feb 2023
MagicMix: Semantic Mixing with Diffusion Models Jun Hao Liew Hanshu Yan Daquan Zhou Jiashi Feng DiffM 165 59 0 28 Oct 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