Cover Image

Unified Concept Editing in Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gandikota, Rohit, Orgad, Hadas, Belinkov, Yonatan, Materzyńska, Joanna, Bau, David
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ReFACT: Updating Text-to-Image Models by Editing the Text Encoder
by: Arad, Dana, et al.
Published: (2023)

Opt-In Art: Learning Art Styles Only from Few Examples
by: Ren, Hui, et al.
Published: (2024)

When Are Concepts Erased From Diffusion Models?
by: Lu, Kevin, et al.
Published: (2025)

Distilling Diversity and Control in Diffusion Models
by: Gandikota, Rohit, et al.
Published: (2025)

SliderSpace: Decomposing the Visual Capabilities of Diffusion Models
by: Gandikota, Rohit, et al.
Published: (2025)

Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines
by: Toker, Michael, et al.
Published: (2024)

Position-aware Automatic Circuit Discovery
by: Haklay, Tal, et al.
Published: (2025)

Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models
by: Toker, Michael, et al.
Published: (2025)

Editing Massive Concepts in Text-to-Image Diffusion Models
by: Xiong, Tianwei, et al.
Published: (2024)

ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning
by: Chavhan, Ruchika, et al.
Published: (2024)

Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
by: Wu, Yongliang, et al.
Published: (2024)

Unveiling Concept Attribution in Diffusion Models
by: Nguyen, Quang H., et al.
Published: (2024)

DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
by: Shi, Yujun, et al.
Published: (2023)

Side Effects of Erasing Concepts from Diffusion Models
by: Saha, Shaswati, et al.
Published: (2025)

Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
by: Bui, Anh, et al.
Published: (2024)

Unlearning Concepts from Text-to-Video Diffusion Models
by: Liu, Shiqi, et al.
Published: (2024)

Separable Multi-Concept Erasure from Diffusion Models
by: Zhao, Mengnan, et al.
Published: (2024)

Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis
by: Kouzelis, Theodoros, et al.
Published: (2024)

Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editing
by: Chen, Siyi, et al.
Published: (2024)

Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
by: Shirkavand, Reza, et al.
Published: (2024)

CASL: Concept-Aligned Sparse Latents for Interpreting Diffusion Models
by: He, Zhenghao, et al.
Published: (2026)

DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Models
by: Li, Quanhao, et al.
Published: (2026)

Object-Centric Diffusion for Efficient Video Editing
by: Kahatapitiya, Kumara, et al.
Published: (2024)

Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing
by: Wu, Sihao, et al.
Published: (2025)

LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Models
by: Sun, Mengyu, et al.
Published: (2026)

ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
by: Patel, Maitreya, et al.
Published: (2023)

The Dual Mechanisms of Spatial Reasoning in Vision-Language Models
by: Cui, Kelly, et al.
Published: (2026)

Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models
by: Petsiuk, Vitali, et al.
Published: (2024)

Spider: A Unified Framework for Context-dependent Concept Segmentation
by: Zhao, Xiaoqi, et al.
Published: (2024)

Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction
by: Wang, Yifei, et al.
Published: (2025)

DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models
by: He, Xiaoxiao, et al.
Published: (2024)

One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models
by: Surkov, Viacheslav, et al.
Published: (2024)

Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models
by: Deng, Kaiyuan, et al.
Published: (2026)

Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning
by: Fuchi, Masane, et al.
Published: (2024)

Unified Control for Inference-Time Guidance of Denoising Diffusion Models
by: Goyal, Maurya, et al.
Published: (2025)

A Unified Framework for Diffusion Model Unlearning with f-Divergence
by: Novello, Nicola, et al.
Published: (2025)

Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models
by: Motamed, Saman, et al.
Published: (2024)

Large Language Models Generate Harmful Content Using a Distinct, Unified Mechanism
by: Orgad, Hadas, et al.
Published: (2026)

Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
by: Xu, Xinyue, et al.
Published: (2024)

Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers
by: Huang, Chi-Pin, et al.
Published: (2023)