Denoising

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Image Denoising

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Discrete Diffusion Model

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Latent Diffusion Model

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Diffusion Sampling

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Score-Based Diffusion Model

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Generative Priors

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Identity-Conditioned Latent Diffusion Models

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Diffusion Priors

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Denoising Diffusion Probabilistic Model

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Denoising Trajectory

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Reward-Guided Diffusion

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Diffusion Dynamics

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1,018 papers

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Broken Memories: Detecting and Mitigating Memorization in Diffusion Models with Degraded Generations
May 21, 2026Yuanmin Huang, Mi Zhang, Chen Chen +4Discrete Diffusion Model Memorization
Hierarchical Variational Policies for Reward-Guided Diffusion
May 20, 2026Kushagra Pandey, Farrin Marouf Sofian, Jan Niklas Groeneveld +2Diffusion Sampling Reward-Guided Diffusion
One-Step Distillation of Discrete Diffusion Image Generators via Fixed-Point Iteration
May 20, 2026Chaoyang Wang, Yunhai TongDiscrete Diffusion Model Fixed-Point Iteration
OcclusionFormer: Arranging Z-Order for Layout-Grounded Image Generation
May 20, 2026Ziye Li, Henghui DingDiverse Occlusion-And-Revelation Scenarios Occlusion
Let EEG Models Learn EEG
May 20, 2026Yifan Wang, Yijia Ma, Wen Li +1Electroencephalography Spatial Super-Resolution Generative Framework
Graph Navier Stokes Networks
May 20, 2026Zexing Zhao, Guangsi Shi, Yu Gong +4Graph Neural Networks Shallow Water Equations
Conditioning Gaussian Processes on Almost Anything
May 20, 2026Henry Moss, Lachlan Astfalck, Thomas Cowperthwaite +5Gaussian Process 3D Gaussian Splatting
Conflict-Aware Additive Guidance for Flow Models under Compositional Rewards
May 20, 2026Xuehui Yu, Fucheng Cai, Meiyi Wang +2Reward-Guided Diffusion Generative Flow Networks
Robust Recommendation from Noisy Implicit Feedback: A GMM-Weighted Bayes-label Transition Matrix Framework
May 20, 2026Zongyu Li, Xuanyu Liu, Gongce Cao +3Noisy Labels Recommender Systems
Rethinking Cross-Layer Information Routing in Diffusion Transformers
May 20, 2026Chao Xu, Maohua Li, Qirui Li +9Multimodal Diffusion Transformers Transformer Residual Streams
Tippett-minimum Fusion of Representation-space Diffusion Models for Multi-Encoder Out-of-Distribution Detection
May 19, 2026Neelkamal BhuyanOut-Of-Distribution Detection Out-Of-Distribution
Oracle Supervision Transfers for Hyperparameter Prediction in Model-Based Image Denoising
May 19, 2026Jianmin Liao, Lixin Shen, Yuesheng XuImage Denoising Hyperparameter Optimization
Tiny-Engram: Trigger-Indexed Concept Tables for Generative Vision
May 19, 2026Runyuan Cai, Yiming Wang, Yu Lin +1Visual Generation Visual Memory
Structural Energy Guidance for View-Consistent Text-to-3D Generation
May 19, 2026Qing Zhang, Jinguang Tong, Jing Zhang +2Multi-View Diffusion Model 3D Generative Models
Landscape-Awareness for Geometric View Diffusion Model
May 19, 2026Yan-Ting Chen, Hao-Wei Chen, Tsu-Ching Hsiao +1Multi-View Diffusion Model Reward-Guided Diffusion
Latent Laplace Diffusion for Irregular Multivariate Time Series
May 19, 2026Zinuo You, Jin Zheng, John CartlidgeLong-Horizon Forecasting Time Series
LIFT and PLACE: A Simple, Stable, and Effective Knowledge Distillation Framework for Lightweight Diffusion Models
May 19, 2026Hyunsoo Han, Sangyeop Yeo, Jaejun YooKnowledge Distillation Discrete Diffusion Model
Aero-World: Action-Conditioned Aerial Video Generation from Inertial Controls
May 19, 2026Abdul Mohaimen Al Radi, Kunyang Li, Yuzhang Shang +2Aerotrack Latent Diffusion Model
Diffusion Graph Posterior Sampling for Nonlinear Inverse Problems with Application to Electrical Impedance Tomography
May 19, 2026Giovanni S. Alberti, Damiana Lazzaro, Serena Morigi +2Ill-Posed Inverse Problem Inverse Problem
Physics Guided Conditional Diffusion Framework for Generative Inverse Design of Manufacturable Metasurface based Absorbers
May 19, 2026Vineetha Joy, Jamshed Palai, Satwik Sahu +3Metamaterials Generative Inverse Design
Tweedie's Formulae and Diffusion Generative Models Beyond Gaussian
May 19, 2026Wenpin Tang, Nizar Touzi, Zikun Zhang +1Stochastic Differential Equations Diffusion Dynamics
Multi-Scale Generative Modeling with Heat Dissipation Flow Matching
May 19, 2026Jun Ma, Hanquan Zhang, Yanjun Qin +2Discrete Diffusion Model Generative Models
PolycubeNet: A Dual-latent Diffusion Model for Polycube-Based Hexahedral Mesh Generation
May 19, 2026Lu He, Qitao Deng, Junjiang Deng +5Meshes Cubifygs
Reducing Diffusion Model Memorization with Higher Order Langevin Dynamics
May 18, 2026Benjamin Sterling, Mónica F. Bugallo, Tom TirerLangevin Dynamics Memorization
Generative Pseudo-Force Fields for Molecular Generation
May 18, 2026Stefaan Simon Pierre Hessmann, Khaled Kahouli, Stefan Gugler +4Molecular Generation Conformational Ensembles
SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate
May 18, 2026Lifu Wei, Yinuo Ren, Naichen Shi +1Data Assimilation Particle Filters
Spectral Progressive Diffusion for Efficient Image and Video Generation
May 18, 2026Howard Xiao, Brian Chao, Lior Yariv +1Image Denoising High-Resolution
A Practical Noise2Noise Denoising Pipeline for High-Throughput Raman Spectroscopy
May 18, 2026David Martin-Calle, Cesar Alvarez Llamas, Vincent Motto- Ros +3Raman Image Denoising
Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network
May 18, 2026Grigory Bartosh, David Ruhe, Emiel Hoogeboom +3Image Denoising Imagenet
Connections between the Föllmer process and the denoising diffusion probabilistic model
May 18, 2026Yuta KoikeStochastic Differential Equations Denoising Diffusion Probabilistic Model
Training data attribution in diffusion models via mirrored unlearning and noise-consistent skew
May 18, 2026Joan Serrà, Dipam Goswami, Fabio Morreale +2Discrete Diffusion Model Training Data Attribution
A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows
May 18, 2026Chenguang Wang, Tianshu YuWasserstein Gradient Flows Diffusion Sampling
Longwang: Zero-Shot Global Spatiotemporal Precipitation Downscaling with a Latent Generative Prior
May 17, 2026Yue Wang, Daniele VisioniDynamical Downscaling Precipitation
ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation
May 17, 2026Zhikang Chen, Yue Wang, Sen Cui +4Pediatric-Adult Electrocardiogram Alignment Electrocardiogram Classification
Real-Time Neural Hair G-Buffer Anti-Aliasing
May 17, 2026Chenghao Wu, Yuefan Shen, Tao Huang +3Neural Rendering Image Denoising
PFlow-T: A Persistence-Driven Forward Process for Topology-Controlled Generation
May 17, 2026Snigdha Chandan KhilarDiscrete Diffusion Model Persistent Homology
Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling
May 17, 2026Tianyue Yang, Sandro Tacchella, Xiao XueGenerative Models Discrete Diffusion Model
SpecSem-Net: Integrating Spectral and Semantic Features for Robust AI-generated Video Detection
May 17, 2026Zixi Wei, Huixuaun Zhang, Xiaojun WanAi-Generated Image Detection Generative Models
Drift Flow Matching
May 17, 2026Chenrui Ma, Xi Xiao, Lin Zhao +3Generative Models Discrete Diffusion Model
Vocabulary-size-independent Convergence of Discrete Diffusion Models: adjoint equations induce the right space
May 17, 2026Kelvin Kan, Xingjian Li, Benjamin J. Zhang +3Discrete Diffusion Model Generative Models
The Learnability Gap in Medical Latent Diffusion
May 16, 2026Mischa Dombrowski, Felix Nützel, Bernhard KainzLatent Diffusion Model Masked Autoencoders
Taming Audio VAEs via Target-KL Regularization
May 16, 2026Prem Seetharaman, Rithesh KumarAudio Latent Variational Autoencoder
Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine
May 16, 2026Wei Huang, Andi Han, Mingyuan Bai +4Score-Based Diffusion Model Discrete Diffusion Model
Roll Out and Roll Back: Diffusion LLMs are Their Own Efficiency Teachers
May 16, 2026Fanqin Zeng, Feng Hong, Geng Yu +6Diffusion Language Models Image Denoising
HighSync: High-Quality Lip Synchronization via Latent Diffusion Models
May 16, 2026Saeed Firouzi Daghigh, Majid Iranpour Mobarekeh, Mostafa Alavi +1Object Articulation Pre-Trained Video Diffusion Models
HAD: Hallucination-Aware Diffusion Priors for 3D Reconstruction
May 16, 2026Xi Liu, Weiwei Sun, Zhou Ren +33D Reconstruction Novel View Synthesis
Constrained Code Generation with Discrete Diffusion
May 16, 2026Lize Shao, Michael Cardei, Zichen Xie +2Code Generation Constraint Satisfaction
DecoRec: Decomposed 3D Scene Reconstruction from Single-View Images via Object-Level Diffusion
May 16, 2026Yuhan Ping, Yuan Liu, Xiaoxiao Long +63D Reconstruction Multi-View Diffusion Model
Accelerating Rectified Flow Models via Trajectory-Aware Caching
May 16, 2026Xiao Liu, Kai Liu, Naiyang Guan +5Rectified Flow Denoising Trajectory
CAB: Accelerating Flow and Diffusion Sampling via Rectification and Corrected Adams-Bashforth
May 16, 2026Anuska Roy, Pravin NairDiffusion Sampling Rectification
Face inpainting with Identity Preserving Latent Diffusion Models
May 15, 2026João Santos, Carlos Santiago, Manuel MarquesBlind Face Restoration Inpainting
Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning
May 15, 2026Mengye RenCreativity Generative Models
Dimension-Uniform Discretization Analysis of Preconditioned Annealed Langevin Dynamics for Multimodal Gaussian Mixtures
May 15, 2026Lorenzo Baldassari, Josselin Garnier, Knut Solna +1Langevin Dynamics Diffusion Sampling
AdaEraser: Training-Free Object Removal via Adaptive Attention Suppression
May 15, 2026Dingming LiuVideo Object Removal Removal
Do Less, Achieve More: Do We Need Every-Step Optimization for RL Fine-tuning of Diffusion Models?
May 15, 2026Renye Yan, Jikang Cheng, Shikun Sun +7Reinforcement Fine-Tuning Denoising Trajectory
StippleDiffusion: Capacity-Constrained Stippling using Controlled Diffusion
May 15, 2026Ofir Gilad, Aleksander Plocharski, Przemyslaw Musialski +1Diffusion Sampling Optimal Transport
DealMaTe: Multi-Dimensional Material Transfer via Diffusion Transformer
May 15, 2026Nisha Huang, Yizhou Lin, Jie Guo +3Discrete Diffusion Model Causal Attention
Dynamic Chunking for Diffusion Language Models
May 15, 2026Yichen Zhu, Xiaoming Shi, Peng Zhao +3Diffusion Language Models Chunk
MaTe: Images Are All You Need for Material Transfer via Diffusion Transformer
May 15, 2026Nisha Huang, Henglin Liu, Yizhou Lin +5Discrete Diffusion Model Generative Quality
Ligand-Conditioned Discrete Diffusion for Protein Sequence-Structure Co-Design
May 15, 2026Chen Wei, Fanding Xu, Minghao Sun +5Protein Design Protein

May 21, 2026 · cs.CVJ/K move · Enter open · S save

Broken Memories: Detecting and Mitigating Memorization in Diffusion Models with Degraded Generations

Yuanmin Huang, Mi Zhang, Chen Chen, Feifei Li+3

Fudan University Shanghai, China · East China University of Science and Technology Shanghai, China

While diffusion models excel at generating high-quality images, their tendency to memorize training data poses significant privacy and copyright risks. In this work, we for the first time identify that memorization induces internal numerical instability, often manifesting as visually ``broken'' artifacts. Inspired by stability analysis in numerical methods, we introduce empirical stability regions based on latent update norms to quantitatively characterize stable behavior during generation. Leveraging this, we propose a principled, on-the-fly framework for step-wise detection and adaptive mitigation. Our approach suppresses memorization without altering prompts or guidance, thereby preserving semantic fidelity and image quality. Extensive experiments on Stable Diffusion 1.4 demonstrate that our method achieves an AUC

>0.999

detection performance and a

0.0\%

memorization rate after mitigation with negligible overhead (

\approx0.01

s per image).

Discrete Diffusion Model Memorization

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