Cover Image

Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Hang, Shen, Chengzhi, Torr, Philip, Tresp, Volker, Gu, Jindong
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
by: Chen, Haokun, et al.
Published: (2024)

Multi-event Video-Text Retrieval
by: Zhang, Gengyuan, et al.
Published: (2023)

FairGen: Enhancing Fairness in Text-to-Image Diffusion Models via Self-Discovering Latent Directions
by: Jiang, Yilei, et al.
Published: (2024)

Latent Guard: a Safety Framework for Text-to-image Generation
by: Liu, Runtao, et al.
Published: (2024)

Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution
by: Liu, Fengyuan, et al.
Published: (2024)

An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models
by: Luo, Haochen, et al.
Published: (2024)

True Multimodal In-Context Learning Needs Attention to the Visual Context
by: Chen, Shuo, et al.
Published: (2025)

Progressive Text-to-Image Diffusion with Soft Latent Direction
by: Ye, YuTeng, et al.
Published: (2023)

Multimodal Pragmatic Jailbreak on Text-to-image Models
by: Liu, Tong, et al.
Published: (2024)

Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models
by: Haas, René, et al.
Published: (2023)

Localizing Events in Videos with Multimodal Queries
by: Zhang, Gengyuan, et al.
Published: (2024)

Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer
by: Wu, Shuang, et al.
Published: (2024)

Influencer Backdoor Attack on Semantic Segmentation
by: Lan, Haoheng, et al.
Published: (2023)

Stop Reasoning! When Multimodal LLM with Chain-of-Thought Reasoning Meets Adversarial Image
by: Wang, Zefeng, et al.
Published: (2024)

Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
by: Chen, Shuo, et al.
Published: (2023)

PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs
by: Wu, Yixuan, et al.
Published: (2025)

As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?
by: Hu, Anjun, et al.
Published: (2024)

A Survey on Responsible Generative AI: What to Generate and What Not
by: Gu, Jindong
Published: (2024)

Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators
by: Yuan, Jianhao, et al.
Published: (2022)

Provably Better Explanations with Optimized Aggregation of Feature Attributions
by: Decker, Thomas, et al.
Published: (2024)

AlignGuard: Scalable Safety Alignment for Text-to-Image Generation
by: Liu, Runtao, et al.
Published: (2024)

AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models
by: Chen, Haokun, et al.
Published: (2025)

Self-Corrected Image Generation with Explainable Latent Rewards
by: Luo, Yinyi, et al.
Published: (2026)

Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation
by: Maduabuchi, Chika, et al.
Published: (2025)

Finetune Like You Pretrain: Boosting Zero-shot Adversarial Robustness in Vision-language Models
by: Xing, Songlong, et al.
Published: (2026)

DreamPolisher: Towards High-Quality Text-to-3D Generation via Geometric Diffusion
by: Lin, Yuanze, et al.
Published: (2024)

Learning Visual Prompts for Guiding the Attention of Vision Transformers
by: Rezaei, Razieh, et al.
Published: (2024)

Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images
by: Gao, Kuofeng, et al.
Published: (2024)

AViLA: Asynchronous Vision-Language Agent for Streaming Multimodal Data Interaction
by: Zhang, Gengyuan, et al.
Published: (2025)

Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions
by: Cao, Chengzhi, et al.
Published: (2023)

Improving Adversarial Transferability via Model Alignment
by: Ma, Avery, et al.
Published: (2023)

GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models
by: Dalva, Yusuf, et al.
Published: (2024)

Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering
by: Varshney, Payal, et al.
Published: (2025)

DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models
by: Wang, Zhendong, et al.
Published: (2025)

SUDO: Enhancing Text-to-Image Diffusion Models with Self-Supervised Direct Preference Optimization
by: Peng, Liang, et al.
Published: (2025)

Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
by: Zhang, David Junhao, et al.
Published: (2023)

Dual Recursive Feedback on Generation and Appearance Latents for Pose-Robust Text-to-Image Diffusion
by: Kim, Jiwon, et al.
Published: (2025)

Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach
by: Wu, Chengzhi, et al.
Published: (2023)

Self-Ensemble Post Learning for Noisy Domain Generalization
by: Lu, Wang, et al.
Published: (2025)

Fair Generation without Unfair Distortions: Debiasing Text-to-Image Generation with Entanglement-Free Attention
by: Park, Jeonghoon, et al.
Published: (2025)