Cover Image

Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Han, Yujin, Han, Andi, Huang, Wei, Lu, Chaochao, Zou, Difan
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

Slight Corruption in Pre-training Data Makes Better Diffusion Models
by: Chen, Hao, et al.
Published: (2024)

Masked Autoencoders Are Effective Tokenizers for Diffusion Models
by: Chen, Hao, et al.
Published: (2025)

LINA: Learning INterventions Adaptively for Physical Alignment and Generalization in Diffusion Models
by: Yu, Shu, et al.
Published: (2025)

Can MLLMs Understand the Deep Implication Behind Chinese Images?
by: Zhang, Chenhao, et al.
Published: (2024)

DuetFair: Coupling Inter- and Intra-Subgroup Robustness for Fair Medical Image Segmentation
by: Tian, Yiqi, et al.
Published: (2026)

Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation
by: Tong, Lei, et al.
Published: (2025)

Instant Preference Alignment for Text-to-Image Diffusion Models
by: Li, Yang, et al.
Published: (2025)

SINE: SINgle Image Editing with Text-to-Image Diffusion Models
by: Zhang, Zhixing, et al.
Published: (2022)

Beyond Synthetic Replays: Turning Diffusion Features into Few-Shot Class-Incremental Learning Knowledge
by: Kim, Junsu, et al.
Published: (2025)

DC-AE 1.5: Accelerating Diffusion Model Convergence with Structured Latent Space
by: Chen, Junyu, et al.
Published: (2025)

ADAM: An Embodied Causal Agent in Open-World Environments
by: Yu, Shu, et al.
Published: (2024)

SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model
by: Li, Zhengang, et al.
Published: (2024)

VLMs Can Aggregate Scattered Training Patches
by: Zhou, Zhanhui, et al.
Published: (2025)

RealignDiff: Boosting Text-to-Image Diffusion Model with Coarse-to-fine Semantic Re-alignment
by: Jiang, Zutao, et al.
Published: (2023)

NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
by: Zheng, PengFei, et al.
Published: (2024)

TFANet: Three-Stage Image-Text Feature Alignment Network for Robust Referring Image Segmentation
by: Lu, Qianqi, et al.
Published: (2025)

Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation
by: Chi, Ruting, et al.
Published: (2024)

APT: Improving Diffusion Models for High Resolution Image Generation with Adaptive Path Tracing
by: Han, Sangmin, et al.
Published: (2025)

Reinforcement Learning-Based Prompt Template Stealing for Text-to-Image Models
by: Zou, Xiaotian
Published: (2025)

PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion
by: Lu, Guansong, et al.
Published: (2023)

Inter-Class Relational Loss for Small Object Detection: A Case Study on License Plates
by: Ning, Dian, et al.
Published: (2025)

Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models
by: Chen, Junyu, et al.
Published: (2024)

Cycle Diffusion Model for Counterfactual Image Generation
by: Huang, Fangrui, et al.
Published: (2025)

When Do Diffusion Models learn to Generate Multiple Objects?
by: Jeong, Yujin, et al.
Published: (2026)

Diffusion Fuzzy System: Fuzzy Rule Guided Latent Multi-Path Diffusion Modeling
by: Yang, Hailong, et al.
Published: (2025)

AirCache: Activating Inter-modal Relevancy KV Cache Compression for Efficient Large Vision-Language Model Inference
by: Huang, Kai, et al.
Published: (2025)

Uncovering Hidden Subspaces in Video Diffusion Models Using Re-Identification
by: Dombrowski, Mischa, et al.
Published: (2024)

SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models
by: Tang, Zhenwei, et al.
Published: (2025)

AesRM: Improving Video Aesthetics with Expert-Level Feedback
by: Han, Yujin, et al.
Published: (2026)

Learning Spectral Diffusion Prior for Hyperspectral Image Reconstruction
by: Yu, Mingyang, et al.
Published: (2025)

Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features
by: Meng, Benyuan, et al.
Published: (2024)

High-quality Image Dehazing with Diffusion Model
by: Yu, Hu, et al.
Published: (2023)

Can Large Vision-Language Models Detect Images Copyright Infringement from GenAI?
by: Xu, Qipan, et al.
Published: (2025)

TSHA: A Benchmark for Visual Language Models in Trustworthy Safety Hazard Assessment Scenarios
by: Yu, Qiucheng, et al.
Published: (2026)

Contrastive Learning Guided Latent Diffusion Model for Image-to-Image Translation
by: Si, Qi, et al.
Published: (2025)

One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications
by: Lyu, Mengyao, et al.
Published: (2023)

Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature Enhancement
by: Chang, Zhiyuan, et al.
Published: (2024)

PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing
by: Huang, Wenjing, et al.
Published: (2023)

HARIVO: Harnessing Text-to-Image Models for Video Generation
by: Kwon, Mingi, et al.
Published: (2024)

HoneyImage: Verifiable, Harmless, and Stealthy Dataset Ownership Verification for Image Models
by: Zhu, Zhihao, et al.
Published: (2025)