Imagen de Portada

Bridging the Gap: Aligning Text-to-Image Diffusion Models with Specific Feedback

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Niu, Xuexiang, Tang, Jinping, Wang, Lei, Zhu, Ge
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Bridging the Intention-Expression Gap: Aligning Multi-Dimensional Preferences via Hierarchical Relevance Feedback in Text-to-Image Diffusion
por: Wang, Wenxi, et al.
Publicado: (2026)

Category-level Text-to-Image Retrieval Improved: Bridging the Domain Gap with Diffusion Models and Vision Encoders
por: Khan, Faizan Farooq, et al.
Publicado: (2025)

Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation
por: Hu, Zijing, et al.
Publicado: (2025)

Can Diffusion Models Bridge the Domain Gap in Cardiac MR Imaging?
por: Wong, Xin Ci, et al.
Publicado: (2025)

TextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models
por: Xiao, Yao, et al.
Publicado: (2025)

Fair Text to Medical Image Diffusion Model with Subgroup Distribution Aligned Tuning
por: Han, Xu, et al.
Publicado: (2024)

StyleBlend: Enhancing Style-Specific Content Creation in Text-to-Image Diffusion Models
por: Chen, Zichong, et al.
Publicado: (2025)

Energy-oriented Diffusion Bridge for Image Restoration with Foundational Diffusion Models
por: Hou, Jinhui, et al.
Publicado: (2026)

Text-Anchored Score Composition: Tackling Condition Misalignment in Text-to-Image Diffusion Models
por: Wang, Luozhou, et al.
Publicado: (2023)

GrOCE:Graph-Guided Online Concept Erasure for Text-to-Image Diffusion Models
por: Han, Ning, et al.
Publicado: (2025)

Bridging the Perception Gap in Image Super-Resolution Evaluation
por: Su, Shaolin, et al.
Publicado: (2025)

A Dense Reward View on Aligning Text-to-Image Diffusion with Preference
por: Yang, Shentao, et al.
Publicado: (2024)

CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
por: Jiang, Dongzhi, et al.
Publicado: (2024)

Bridging Annotation Gaps: Transferring Labels to Align Object Detection Datasets
por: Kennerley, Mikhail, et al.
Publicado: (2025)

FreeInit: Bridging Initialization Gap in Video Diffusion Models
por: Wu, Tianxing, et al.
Publicado: (2023)

Bridging the RGB-IR Gap: Consensus and Discrepancy Modeling for Text-Guided Multispectral Detection
por: Wu, Jiaqi, et al.
Publicado: (2026)

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

Residual Diffusion Bridge Model for Image Restoration
por: Wang, Hebaixu, et al.
Publicado: (2025)

DSG-World: Learning a 3D Gaussian World Model from Dual State Videos
por: Hu, Wenhao, et al.
Publicado: (2025)

PC-Diffusion: Aligning Diffusion Models with Human Preferences via Preference Classifier
por: Wang, Shaomeng, et al.
Publicado: (2025)

Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching
por: Liu, Yuhan, et al.
Publicado: (2025)

LADB: Latent Aligned Diffusion Bridges for Semi-Supervised Domain Translation
por: Wang, Xuqin, et al.
Publicado: (2025)

PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference
por: Liu, Kendong, et al.
Publicado: (2024)

Text-Printed Image: Bridging the Image-Text Modality Gap for Text-centric Training of Large Vision-Language Models
por: Yamabe, Shojiro, et al.
Publicado: (2025)

ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems
por: Zavadski, Denis, et al.
Publicado: (2023)

Noise Projection: Closing the Prompt-Agnostic Gap Behind Text-to-Image Misalignment in Diffusion Models
por: Tong, Yunze, et al.
Publicado: (2025)

Disciplined Diffusion: Text-to-Image Diffusion Model against NSFW Generation
por: Zhang, Chi, et al.
Publicado: (2026)

Palette Aligned Image Diffusion
por: Aharoni, Elad, et al.
Publicado: (2025)

Auditing Data Provenance in Real-world Text-to-Image Diffusion Models for Privacy and Copyright Protection
por: Zhu, Jie, et al.
Publicado: (2025)

Filter & Align: Leveraging Human Knowledge to Curate Image-Text Data
por: Zhang, Lei, et al.
Publicado: (2023)

Scaling Down Text Encoders of Text-to-Image Diffusion Models
por: Wang, Lifu, et al.
Publicado: (2025)

Security Tensors as a Cross-Modal Bridge: Extending Text-Aligned Safety to Vision in LVLM
por: Li, Shen, et al.
Publicado: (2025)

AlignIT: Enhancing Prompt Alignment in Customization of Text-to-Image Models
por: Agarwal, Aishwarya, et al.
Publicado: (2024)

Bridging the Skill Gap in Clinical CBCT Interpretation with CBCTRepD
por: Wu, Qinxin, et al.
Publicado: (2026)

Bridging Visual Affective Gap: Borrowing Textual Knowledge by Learning from Noisy Image-Text Pairs
por: Wu, Daiqing, et al.
Publicado: (2025)

Self-Cross Diffusion Guidance for Text-to-Image Synthesis of Similar Subjects
por: Qiu, Weimin, et al.
Publicado: (2024)

Text Image Inpainting via Global Structure-Guided Diffusion Models
por: Zhu, Shipeng, et al.
Publicado: (2024)

Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training
por: Chen, Xinyan, et al.
Publicado: (2023)

Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
por: Xu, Xingqian, et al.
Publicado: (2022)

Post-training Quantization for Text-to-Image Diffusion Models with Progressive Calibration and Activation Relaxing
por: Tang, Siao, et al.
Publicado: (2023)