Cover Image

Calibrated Multi-Preference Optimization for Aligning Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Kyungmin, Li, Xiaohang, Wang, Qifei, He, Junfeng, Ke, Junjie, Yang, Ming-Hsuan, Essa, Irfan, Shin, Jinwoo, Yang, Feng, Li, Yinxiao
Format:	Preprint
Published:	2025
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

Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation
by: Lee, Seung Hyun, et al.
Published: (2024)

Cropper: Vision-Language Model for Image Cropping through In-Context Learning
by: Lee, Seung Hyun, et al.
Published: (2024)

Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion Models
by: Lee, Kyungmin, et al.
Published: (2024)

HALO: Human-Aligned End-to-end Image Retargeting with Layered Transformations
by: Xu, Yiran, et al.
Published: (2025)

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

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

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

DynamicScaler: Seamless and Scalable Video Generation for Panoramic Scenes
by: Liu, Jinxiu, et al.
Published: (2024)

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

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

A Simple Approach to Unifying Diffusion-based Conditional Generation
by: Li, Xirui, et al.
Published: (2024)

MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation
by: Yu, Sihyun, et al.
Published: (2025)

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

Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models
by: Wang, Fu-Yun, et al.
Published: (2025)

3D Semantic MapNet: Building Maps for Multi-Object Re-Identification in 3D
by: Cartillier, Vincent, et al.
Published: (2024)

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

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

HierSum: A Global and Local Attention Mechanism for Video Summarization
by: Beedu, Apoorva, et al.
Published: (2025)

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

Margin-aware Preference Optimization for Aligning Diffusion Models without Reference
by: Hong, Jiwoo, et al.
Published: (2024)

ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference Optimization
by: Shen, Wenhao, et al.
Published: (2025)

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

Optical Diffusion Models for Image Generation
by: Oguz, Ilker, et al.
Published: (2024)

MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences
by: Wang, Weitao, et al.
Published: (2024)

Exploring Efficient Foundational Multi-modal Models for Video Summarization
by: Samel, Karan, et al.
Published: (2024)

Leveraging Procedural Knowledge and Task Hierarchies for Efficient Instructional Video Pre-training
by: Samel, Karan, et al.
Published: (2025)

SLAIM: Robust Dense Neural SLAM for Online Tracking and Mapping
by: Cartillier, Vincent, et al.
Published: (2024)

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

Optimizing Multi-Round Enhanced Training in Diffusion Models for Improved Preference Understanding
by: Li, Kun, et al.
Published: (2025)

Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models
by: Bao, Jingzhi, et al.
Published: (2024)

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

AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization
by: Lu, Jinda, et al.
Published: (2025)

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

Beyond Binary Preference: Aligning Diffusion Models to Fine-grained Criteria by Decoupling Attributes
by: Meng, Chenye, et al.
Published: (2026)

Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization
by: Gu, Yi, et al.
Published: (2024)

Unified Dense Prediction of Video Diffusion
by: Yang, Lehan, et al.
Published: (2025)

Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences
by: Lu, Yunhong, et al.
Published: (2025)

Learning Multi-frame and Monocular Prior for Estimating Geometry in Dynamic Scenes
by: Park, Seong Hyeon, et al.
Published: (2025)

MapReduce LoRA: Advancing the Pareto Front in Multi-Preference Optimization for Generative Models
by: Chen, Chieh-Yun, et al.
Published: (2025)

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)