Concept Reachability in Diffusion Models: Beyond Dataset Constraints

25 May 2025

Papers citing "Concept Reachability in Diffusion Models: Beyond Dataset Constraints"

45 / 45 papers shown

Title
Analyzing the Generalization and Reliability of Steering Vectors Daniel Tan David Chanin Aengus Lynch Dimitrios Kanoulas Brooks Paige Adrià Garriga-Alonso Robert Kirk LLMSV 91 23 0 17 Jul 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space Core Francisco Park Maya Okawa Andrew Lee Ekdeep Singh Lubana Hidenori Tanaka 66 12 0 27 Jun 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux Igor Krawczuk Grigorios G. Chrysos Volkan Cevher DiffM 61 4 0 29 May 2024
Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation Yingshan Chang Yasi Zhang Zhiyuan Fang Yingnian Wu Yonatan Bisk Feng Gao EGVM 69 7 0 25 Mar 2024
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation Tong Xie Haoyu Li Andrew Bai Cho-Jui Hsieh TDI 64 4 0 17 Jan 2024
The Journey, Not the Destination: How Data Guides Diffusion Models Kristian Georgiev Joshua Vendrow Hadi Salman Sung Min Park Aleksander Madry 45 24 0 11 Dec 2023
Steering Llama 2 via Contrastive Activation Addition Nina Rimsky Nick Gabrieli Julian Schulz Meg Tong Evan Hubinger Alexander Matt Turner LLMSV 28 188 0 09 Dec 2023
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation Hang Li Chengzhi Shen Philip Torr Volker Tresp Jindong Gu 42 35 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 65 67 0 20 Nov 2023
Intriguing Properties of Data Attribution on Diffusion Models Xiaosen Zheng Tianyu Pang Chao Du Jing Jiang Min Lin TDI 57 25 1 01 Nov 2023
GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment Dhruba Ghosh Hanna Hajishirzi Ludwig Schmidt 53 167 0 17 Oct 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task Maya Okawa Ekdeep Singh Lubana Robert P. Dick Hidenori Tanaka CoGe DiffM 53 54 0 13 Oct 2023
Sparse Autoencoders Find Highly Interpretable Features in Language Models Hoagy Cunningham Aidan Ewart Logan Riggs R. Huben Lee Sharkey MILM 52 382 0 15 Sep 2023
Unified Concept Editing in Diffusion Models Rohit Gandikota Hadas Orgad Yonatan Belinkov Joanna Materzyñska David Bau DiffM 67 183 0 25 Aug 2023
Evaluating Data Attribution for Text-to-Image Models Sheng-Yu Wang Alexei A. Efros Jun-Yan Zhu Richard Y. Zhang TDI 57 33 0 15 Jun 2023
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model Kenneth Li Oam Patel Fernanda Viégas Hanspeter Pfister Martin Wattenberg KELM HILM 62 528 0 06 Jun 2023
Diffusion Self-Guidance for Controllable Image Generation Dave Epstein Allan Jabri Ben Poole Alexei A. Efros Aleksander Holynski 57 249 0 01 Jun 2023
Generating images of rare concepts using pre-trained diffusion models Dvir Samuel Rami Ben-Ari Simon Raviv N. Darshan Gal Chechik 140 42 0 27 Apr 2023
Ablating Concepts in Text-to-Image Diffusion Models Nupur Kumari Bin Zhang Sheng-Yu Wang Eli Shechtman Richard Y. Zhang Jun-Yan Zhu VLM 28 195 0 23 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 45 41 0 20 Mar 2023
Concept Algebra for (Score-Based) Text-Controlled Generative Models Zihao Wang Lin Gui Jeffrey Negrea Victor Veitch CoGe DiffM 47 34 0 07 Feb 2023
Training Data Influence Analysis and Estimation: A Survey Zayd Hammoudeh Daniel Lowd TDI 42 91 0 09 Dec 2022
Editing Models with Task Arithmetic Gabriel Ilharco Marco Tulio Ribeiro Mitchell Wortsman Suchin Gururangan Ludwig Schmidt Hannaneh Hajishirzi Ali Farhadi KELM MoMe MU 95 462 0 08 Dec 2022
Diffusion Models already have a Semantic Latent Space Mingi Kwon Jaeseok Jeong Youngjung Uh 38 250 0 20 Oct 2022
LAION-5B: An open large-scale dataset for training next generation image-text models Christoph Schuhmann Romain Beaumont Richard Vencu Cade Gordon Ross Wightman ... Srivatsa Kundurthy Katherine Crowson Ludwig Schmidt R. Kaczmarczyk J. Jitsev VLM MLLM CLIP 102 3,355 0 16 Oct 2022
Prompt-to-Prompt Image Editing with Cross Attention Control Amir Hertz Ron Mokady J. Tenenbaum Kfir Aberman Yael Pritch Daniel Cohen-Or DiffM 101 1,727 0 02 Aug 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 218 6,768 0 13 Apr 2022
Locating and Editing Factual Associations in GPT Kevin Meng David Bau A. Andonian Yonatan Belinkov KELM 81 1,275 0 10 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 164 15,081 0 20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 160 3,531 0 20 Dec 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 250 829 0 14 Oct 2021
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective Luca Scimeca Seong Joon Oh Sanghyuk Chun Michael Poli Sangdoo Yun OOD 431 50 0 06 Oct 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models Elad Ben-Zaken Shauli Ravfogel Yoav Goldberg 107 1,191 0 18 Jun 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 358 28,659 0 26 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 198 6,293 0 26 Nov 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 145 17,550 0 19 Jun 2020
Estimating Training Data Influence by Tracing Gradient Descent G. Pruthi Frederick Liu Mukund Sundararajan Satyen Kale TDI 25 395 0 19 Feb 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 162 19,824 0 23 Oct 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 102 3,803 0 12 Jul 2019
Bias and Generalization in Deep Generative Models: An Empirical Study Shengjia Zhao Hongyu Ren Arianna Yuan Jiaming Song Noah D. Goodman Stefano Ermon AI4CE 26 137 0 08 Nov 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 182 129,831 0 12 Jun 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 93 2,854 0 14 Mar 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 604 76,547 0 18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 150 6,780 0 12 Mar 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 156 8,351 0 28 Nov 2014