Cover Image

Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Kyungmin, Kwak, Sangkyung, Sohn, Kihyuk, Shin, Jinwoo
Format:	Preprint
Published:	2024
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

DreamFlow: High-Quality Text-to-3D Generation by Approximating Probability Flow
by: Lee, Kyungmin, et al.
Published: (2024)

Improving Diffusion Models for Authentic Virtual Try-on in the Wild
by: Choi, Yisol, et al.
Published: (2024)

StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment
by: Kim, Younghyun, et al.
Published: (2025)

Controllable Human Image Generation with Personalized Multi-Garments
by: Choi, Yisol, et al.
Published: (2024)

FontAdapter: Instant Font Adaptation in Visual Text Generation
by: Koo, Myungkyu, et al.
Published: (2025)

DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
by: Choi, June Suk, et al.
Published: (2024)

Decoupled MeanFlow: Turning Flow Models into Flow Maps for Accelerated Sampling
by: Lee, Kyungmin, et al.
Published: (2025)

Text Prompting for Multi-Concept Video Customization by Autoregressive Generation
by: Kothandaraman, Divya, et al.
Published: (2024)

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
by: Yu, Sihyun, et al.
Published: (2024)

Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model
by: Won, John, et al.
Published: (2025)

Improving Motion in Image-to-Video Models via Adaptive Low-Pass Guidance
by: Choi, June Suk, et al.
Published: (2025)

Calibrated Multi-Preference Optimization for Aligning Diffusion Models
by: Lee, Kyungmin, et al.
Published: (2025)

Adversarial Robustification via Text-to-Image Diffusion Models
by: Choi, Daewon, et al.
Published: (2024)

Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization
by: Song, Yeji, et al.
Published: (2024)

Safety Alignment Backfires: Preventing the Re-emergence of Suppressed Concepts in Fine-tuned Text-to-Image Diffusion Models
by: Kim, Sanghyun, et al.
Published: (2024)

Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion
by: Kim, Sanghyun, et al.
Published: (2024)

Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data
by: Kalluri, Tarun, et al.
Published: (2024)

Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
by: Park, Yong-Hyun, et al.
Published: (2024)

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
by: Seo, Junyoung, et al.
Published: (2023)

HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy
by: Koo, Myungkyu, et al.
Published: (2025)

Discovering and Mitigating Visual Biases through Keyword Explanation
by: Kim, Younghyun, et al.
Published: (2023)

CustomText: Customized Textual Image Generation using Diffusion Models
by: Paliwal, Shubham, et al.
Published: (2024)

How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?
by: Dong, Jiahua, et al.
Published: (2024)

Learning to Customize Text-to-Image Diffusion In Diverse Context
by: Kim, Taewook, et al.
Published: (2024)

Customizing Text-to-Image Diffusion with Object Viewpoint Control
by: Kumari, Nupur, et al.
Published: (2024)

Semantic Guidance Tuning for Text-To-Image Diffusion Models
by: Kang, Hyun, et al.
Published: (2023)

Descriptive Image-Text Matching with Graded Contextual Similarity
by: Jang, Jinhyun, et al.
Published: (2025)

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

Iterative Prompt Refinement for Safer Text-to-Image Generation
by: Jeon, Jinwoo, et al.
Published: (2025)

Restoration-Aligned Generative Flow Models for Blind Motion Deblurring
by: Kim, Insoo, et al.
Published: (2026)

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization
by: Jang, Geonhui, et al.
Published: (2024)

Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models
by: Ren, Yixuan, et al.
Published: (2024)

CLIP Meets Diffusion: A Synergistic Approach to Anomaly Detection
by: Lee, Byeongchan, et al.
Published: (2025)

EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models
by: Lee, Eungbean, et al.
Published: (2024)

Style Customization of Text-to-Vector Generation with Image Diffusion Priors
by: Zhang, Peiying, et al.
Published: (2025)

Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation
by: Adiya, Tserendorj, et al.
Published: (2023)

D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples
by: Hu, Zijing, et al.
Published: (2025)

Semantic Anchoring for Robust Personalization in Text-to-Image Diffusion Models
by: Yang, Seoyun, et al.
Published: (2025)

Personalized Image Editing in Text-to-Image Diffusion Models via Collaborative Direct Preference Optimization
by: Dunlop, Connor, et al.
Published: (2025)

Audit & Repair: An Agentic Framework for Consistent Story Visualization in Text-to-Image Diffusion Models
by: Akdemir, Kiymet, et al.
Published: (2025)