Cover Image

Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sani, Matina Mahdizadeh, Jamali, Nima, Jalali, Mohammad, Farnia, Farzan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
by: Jalali, Mohammad, et al.
Published: (2025)

PromptSplit: Revealing Prompt-Level Disagreement in Generative Models
by: Lotfian, Mehdi, et al.
Published: (2026)

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search
by: Jamali, Nima, et al.
Published: (2025)

Exposing Diversity Bias in Deep Generative Models: Statistical Origins and Correction of Diversity Error
by: Farnia, Farzan, et al.
Published: (2026)

Towards an Explainable Comparison and Alignment of Feature Embeddings
by: Jalali, Mohammad, et al.
Published: (2025)

Conditional Vendi Score: An Information-Theoretic Approach to Diversity Evaluation of Prompt-based Generative Models
by: Jalali, Mohammad, et al.
Published: (2024)

Scendi Score: Prompt-Aware Diversity Evaluation via Schur Complement of CLIP Embeddings
by: Ospanov, Azim, et al.
Published: (2024)

When Exploration Comes for Free with Mixture-Greedy: Do we need UCB in Diversity-Aware Multi-Armed Bandits?
by: Nia, Bahar Dibaei, et al.
Published: (2026)

Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method
by: Sani, Matina Mahdizadeh, et al.
Published: (2024)

Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations
by: Oskouie, Haniyeh Ehsani, et al.
Published: (2022)

Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models
by: Jang, Sangwon, et al.
Published: (2025)

Training-Free Representation Guidance for Diffusion Models with a Representation Alignment Projector
by: Zu, Wenqiang, et al.
Published: (2026)

Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach
by: Zhang, Jingwei, et al.
Published: (2024)

SORA: Free Second-Order Attacks in Fast Adversarial Training
by: Teymourian, Mazdak, et al.
Published: (2026)

Gradient-Free Classifier Guidance for Diffusion Model Sampling
by: Shenoy, Rahul, et al.
Published: (2024)

Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
by: Gong, Shizhan, et al.
Published: (2024)

Dual-Channel Attention Guidance for Training-Free Image Editing Control in Diffusion Transformers
by: Li, Guandong
Published: (2026)

FlexPose: Pose Distribution Adaptation with Limited Guidance
by: Wang, Zixiao, et al.
Published: (2024)

Upsample Guidance: Scale Up Diffusion Models without Training
by: Hwang, Juno, et al.
Published: (2024)

DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models
by: Wang, Qichao, et al.
Published: (2026)

TAIGen: Training-Free Adversarial Image Generation via Diffusion Models
by: Roy, Susim, et al.
Published: (2025)

Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance
by: Shen, Dazhong, et al.
Published: (2024)

Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation
by: Lee, Byung Hyun, et al.
Published: (2025)

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment
by: Xu, Hang, et al.
Published: (2025)

GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
by: Gao, Xin, et al.
Published: (2025)

Discrepancy-based Diffusion Models for Lesion Detection in Brain MRI
by: Fan, Keqiang, et al.
Published: (2024)

Sparse Domain Transfer via Elastic Net Regularization
by: Zhang, Jingwei, et al.
Published: (2024)

From Street to Orbit: Training-Free Cross-View Retrieval via Location Semantics and LLM Guidance
by: Min, Jeongho, et al.
Published: (2025)

ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks
by: Sani, Samin Mahdizadeh, et al.
Published: (2026)

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

StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion Models
by: Wang, Lezhong, et al.
Published: (2024)

Training-free Dense-Aligned Diffusion Guidance for Modular Conditional Image Synthesis
by: Wang, Zixuan, et al.
Published: (2025)

Training-Free Label Space Alignment for Universal Domain Adaptation
by: Lee, Dujin, et al.
Published: (2025)

Latent Guidance in Diffusion Models for Perceptual Evaluations
by: Saini, Shreshth, et al.
Published: (2025)

Entropy Rectifying Guidance for Diffusion and Flow Models
by: Ifriqi, Tariq Berrada, et al.
Published: (2025)

How Much To Guide: Revisiting Adaptive Guidance in Classifier-Free Guidance Text-to-Vision Diffusion Models
by: Zhang, Huixuan, et al.
Published: (2025)

Detail++: Training-Free Detail Enhancer for Text-to-Image Diffusion Models
by: Chen, Lifeng, et al.
Published: (2025)

Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models
by: Wu, Xiaoyu, et al.
Published: (2024)

Factored Classifier-Free Guidance
by: Xia, Tian, et al.
Published: (2025)

Improving Fast Adversarial Training via Self-Knowledge Guidance
by: Jiang, Chengze, et al.
Published: (2024)