Cover Image

Aligning Text to Image in Diffusion Models is Easier Than You Think

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Jaa-Yeon, Cha, Byunghee, Kim, Jeongsol, Ye, Jong Chul
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Align Your Tangent: Training Better Consistency Models via Manifold-Aligned Tangents
by: Kim, Beomsu, et al.
Published: (2025)

Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models
by: Lee, Jaa-Yeon, et al.
Published: (2026)

Hyperspherical Autoencoder for High-Fidelity Image Reconstruction and Generation
by: Chang, Hun, et al.
Published: (2026)

UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation
by: Kim, Kwanyoung, et al.
Published: (2024)

Latent Schrodinger Bridge: Prompting Latent Diffusion for Fast Unpaired Image-to-Image Translation
by: Kim, Jeongsol, et al.
Published: (2024)

FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing
by: Kim, Jeongsol, et al.
Published: (2025)

DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
by: Kim, Jeongsol, et al.
Published: (2024)

Regularization by Texts for Latent Diffusion Inverse Solvers
by: Kim, Jeongsol, et al.
Published: (2023)

Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models
by: Lee, Jeongjae, et al.
Published: (2026)

Generalized Consistency Trajectory Models for Image Manipulation
by: Kim, Beomsu, et al.
Published: (2024)

Gradient-Free Noise Optimization for Reward Alignment in Generative Models
by: Kim, Jeongsol, et al.
Published: (2026)

Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment
by: Kim, Bryan Sangwoo, et al.
Published: (2025)

FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems
by: Kim, Jeongsol, et al.
Published: (2025)

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
by: Chung, Hyungjin, et al.
Published: (2024)

PCPO: Proportionate Credit Policy Optimization for Aligning Image Generation Models
by: Lee, Jeongjae, et al.
Published: (2025)

Diffusion Posterior Sampling for General Noisy Inverse Problems
by: Chung, Hyungjin, et al.
Published: (2022)

CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think
by: Sun, Zening, et al.
Published: (2026)

UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation for Assessing Hepatic Steatosis
by: Kim, Kwanyoung, et al.
Published: (2026)

Solving Video Inverse Problems Using Image Diffusion Models
by: Kwon, Taesung, et al.
Published: (2024)

Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models
by: Jeong, Hyeonho, et al.
Published: (2023)

PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment
by: Lee, Suhyeon, et al.
Published: (2025)

Minority-Focused Text-to-Image Generation via Prompt Optimization
by: Um, Soobin, et al.
Published: (2024)

Free$^2$Guide: Training-Free Text-to-Video Alignment using Image LVLM
by: Kim, Jaemin, et al.
Published: (2024)

VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models
by: Kwon, Taesung, et al.
Published: (2024)

Diverse Text-to-Image Generation via Contrastive Noise Optimization
by: Kim, Byungjun, et al.
Published: (2025)

Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
by: Nam, Hyelin, et al.
Published: (2023)

Don't Play Favorites: Minority Guidance for Diffusion Models
by: Um, Soobin, et al.
Published: (2023)

Self-Guided Generation of Minority Samples Using Diffusion Models
by: Um, Soobin, et al.
Published: (2024)

VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide
by: Lee, Dohun, et al.
Published: (2024)

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

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
by: Chung, Hyungjin, et al.
Published: (2023)

Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation
by: Um, Soobin, et al.
Published: (2025)

Align Your Query: Representation Alignment for Multimodality Medical Object Detection
by: Seo, Ara, et al.
Published: (2025)

Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
by: Kim, Beomsu, et al.
Published: (2023)

Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models
by: Kwon, Gihyun, et al.
Published: (2024)

Extreme Blind Image Restoration via Prompt-Conditioned Information Bottleneck
by: Kim, Hongeun, et al.
Published: (2025)

Contrastive CFG: Improving CFG in Diffusion Models by Contrasting Positive and Negative Concepts
by: Chang, Jinho, et al.
Published: (2024)

Your Embedding Model is SMARTer Than You Think
by: Zhang, Jianrui, et al.
Published: (2026)

Tiled Prompts: Overcoming Prompt Misguidance in Image and Video Super-Resolution
by: Kim, Bryan Sangwoo, et al.
Published: (2026)

Generalizable Holographic Reconstruction via Amplitude-Only Diffusion Priors
by: Kim, Jeongsol, et al.
Published: (2025)