Cover Image

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Zejian, Li, Yize, Meng, Chenye, Liu, Zhongni, Ling, Yang, Zhang, Shengyuan, Yang, Guang, Yang, Changyuan, Yang, Zhiyuan, Sun, Lingyun
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
by: Zhang, Shengyuan, et al.
Published: (2024)

LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations
by: Li, Zejian, et al.
Published: (2024)

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

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion
by: Zhang, Shengyuan, et al.
Published: (2024)

Diffusion Distillation With Direct Preference Optimization For Efficient 3D LiDAR Scene Completion
by: Zhao, An, et al.
Published: (2025)

Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models
by: Li, Yize, et al.
Published: (2024)

ColaVLA: Leveraging Cognitive Latent Reasoning for Hierarchical Parallel Trajectory Planning in Autonomous Driving
by: Peng, Qihang, et al.
Published: (2025)

Towards Accurate Post-training Quantization for Diffusion Models
by: Wang, Changyuan, et al.
Published: (2023)

BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment
by: Zhou, Dewei, et al.
Published: (2025)

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
by: Yang, Zhihe, et al.
Published: (2025)

Efficient Training of Diffusion Mixture-of-Experts Models: A Practical Recipe
by: Liu, Yahui, et al.
Published: (2025)

CAR-SAM: Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything Model
by: Wen, Houji, et al.
Published: (2026)

ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers
by: Jiang, Yanfeng, et al.
Published: (2024)

CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction across All Sampling Rates
by: Yang, Liutao, et al.
Published: (2024)

Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization
by: Zhang, Lingyun, et al.
Published: (2024)

End-to-End Training for Autoregressive Video Diffusion via Self-Resampling
by: Guo, Yuwei, et al.
Published: (2025)

PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution
by: Zhu, Libo, et al.
Published: (2024)

SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
by: Wang, Jianyi, et al.
Published: (2025)

FreqCross: A Multi-Modal Frequency-Spatial Fusion Network for Robust Detection of Stable Diffusion 3.5 Generated Images
by: Yang, Guang
Published: (2025)

FlowDirector: Training-Free Flow Steering for Precise Text-to-Video Editing
by: Li, Guangzhao, et al.
Published: (2025)

Joint Conditional Diffusion Model for Image Restoration with Mixed Degradations
by: Yue, Yufeng, et al.
Published: (2024)

Training Class-Imbalanced Diffusion Model Via Overlap Optimization
by: Yan, Divin, et al.
Published: (2024)

RNDiff: Rainfall nowcasting with Condition Diffusion Model
by: Ling, Xudong, et al.
Published: (2024)

HybridBooth: Hybrid Prompt Inversion for Efficient Subject-Driven Generation
by: Guan, Shanyan, et al.
Published: (2024)

DeDPO: Debiased Direct Preference Optimization for Diffusion Models
by: Pham, Khiem, et al.
Published: (2026)

Deep asymmetric mixture model for unsupervised cell segmentation
by: Nan, Yang, et al.
Published: (2024)

SPIE: Semantic and Structural Post-Training of Image Editing Diffusion Models with AI feedback
by: Benarous, Elior, et al.
Published: (2025)

MGRQ: Post-Training Quantization For Vision Transformer With Mixed Granularity Reconstruction
by: Yang, Lianwei, et al.
Published: (2024)

LRQ-DiT: Log-Rotation Post-Training Quantization of Diffusion Transformers for Image and Video Generation
by: Yang, Lianwei, et al.
Published: (2025)

StableDub: Taming Diffusion Prior for Generalized and Efficient Visual Dubbing
by: Chen, Liyang, et al.
Published: (2025)

Evolving from Unknown to Known: Retentive Angular Representation Learning for Incremental Open Set Recognition
by: Yang, Runqing, et al.
Published: (2025)

Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models
by: Deng, Kaiyuan, et al.
Published: (2026)

LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models
by: Yang, Yang, et al.
Published: (2024)

RealDPO: Real or Not Real, that is the Preference
by: Cheng, Guo, et al.
Published: (2025)

StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
by: Li, Senmao, et al.
Published: (2023)

SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models
by: Li, Ouxiang, et al.
Published: (2025)

DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models
by: Yang, Yiwei, et al.
Published: (2024)

Compositional Inversion for Stable Diffusion Models
by: Zhang, Xulu, et al.
Published: (2023)

Structure-Guided Adversarial Training of Diffusion Models
by: Yang, Ling, et al.
Published: (2024)

Unraveling MMDiT Blocks: Training-free Analysis and Enhancement of Text-conditioned Diffusion
by: Li, Binglei, et al.
Published: (2026)