Cover Image

SPIE: Semantic and Structural Post-Training of Image Editing Diffusion Models with AI feedback

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Benarous, Elior, Du, Yilun, Yang, Heng
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

Training Diffusion Models with Reinforcement Learning
by: Black, Kevin, et al.
Published: (2023)

Large-scale Reinforcement Learning for Diffusion Models
by: Zhang, Yinan, et al.
Published: (2024)

Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models
by: Wang, Runqian, et al.
Published: (2025)

Editing Massive Concepts in Text-to-Image Diffusion Models
by: Xiong, Tianwei, et al.
Published: (2024)

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

Pixel-Space Post-Training of Latent Diffusion Models
by: Zhang, Christina, et al.
Published: (2024)

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
by: Lee, Dongyeun, et al.
Published: (2025)

Diffusion Adversarial Post-Training for One-Step Video Generation
by: Lin, Shanchuan, et al.
Published: (2025)

Compositional Generative Modeling: A Single Model is Not All You Need
by: Du, Yilun, et al.
Published: (2024)

Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion
by: Fan, Xiang, et al.
Published: (2024)

One-step Diffusion Models with $f$-Divergence Distribution Matching
by: Xu, Yilun, et al.
Published: (2025)

Grounding Video Models to Actions through Goal Conditioned Exploration
by: Luo, Yunhao, et al.
Published: (2024)

TreeGRPO: Tree-Advantage GRPO for Online RL Post-Training of Diffusion Models
by: Ding, Zheng, et al.
Published: (2025)

Reproducing DragDiffusion: Interactive Point-Based Editing with Diffusion Models
by: Subhan, Ali, et al.
Published: (2026)

Improving Diffusion-Based Image Editing Faithfulness via Guidance and Scheduling
by: Cho, Hansam, et al.
Published: (2025)

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

A Gray-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse
by: Guo, Zhongliang, et al.
Published: (2024)

DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
by: Xu, Yilun, et al.
Published: (2024)

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
by: Du, Yilun, et al.
Published: (2023)

VIPaint: Image Inpainting with Pre-Trained Diffusion Models via Variational Inference
by: Agarwal, Sakshi, et al.
Published: (2024)

When Test-Time Guidance Is Enough: Fast Image and Video Editing with Diffusion Guidance
by: Ghorbel, Ahmed, et al.
Published: (2026)

Coupled Inference in Diffusion Models for Semantic Decomposition
by: Yeung, Calvin, et al.
Published: (2026)

Text-Driven Image Editing via Learnable Regions
by: Lin, Yuanze, et al.
Published: (2023)

ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning
by: Chavhan, Ruchika, et al.
Published: (2024)

Semantic Mismatch and Perceptual Degradation: A New Perspective on Image Editing Immunity
by: Dong, Shuai, et al.
Published: (2025)

Diffusion Model-Based Video Editing: A Survey
by: Sun, Wenhao, et al.
Published: (2024)

Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments
by: Lillemark, Hansen Jin, et al.
Published: (2026)

Understanding the Role of Hallucination in Reinforcement Post-Training of Multimodal Reasoning Models
by: Zhang, Gengwei, et al.
Published: (2026)

Fast Training of Diffusion Models with Masked Transformers
by: Zheng, Hongkai, et al.
Published: (2023)

Tackling Structural Hallucination in Image Translation with Local Diffusion
by: Kim, Seunghoi, et al.
Published: (2024)

Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models
by: Tewel, Yoad, et al.
Published: (2024)

Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation
by: Lin, Shanchuan, et al.
Published: (2025)

Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathology
by: Osorio, Pedro, et al.
Published: (2023)

Pathways on the Image Manifold: Image Editing via Video Generation
by: Rotstein, Noam, et al.
Published: (2024)

EditWorld: Simulating World Dynamics for Instruction-Following Image Editing
by: Yang, Ling, et al.
Published: (2024)

Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?
by: Liang, Qiyao, et al.
Published: (2024)

Finetuning Text-to-Image Diffusion Models for Fairness
by: Shen, Xudong, et al.
Published: (2023)

TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation
by: Monsefi, Amin Karimi, et al.
Published: (2025)

Autoguided Online Data Curation for Diffusion Model Training
by: Pais, Valeria, et al.
Published: (2025)

Personalized Federated Training of Diffusion Models with Privacy Guarantees
by: Patel, Kumar Kshitij, et al.
Published: (2025)