Cover Image

Exploring Local Memorization in Diffusion Models via Bright Ending Attention

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Chen, Liu, Daochang, Shah, Mubarak, Xu, Chang
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models
by: Chen, Chen, et al.
Published: (2025)

Investigating Memorization in Video Diffusion Models
by: Chen, Chen, et al.
Published: (2024)

Towards Memorization-Free Diffusion Models
by: Chen, Chen, et al.
Published: (2024)

Surgical Triplet Recognition via Diffusion Model
by: Liu, Daochang, et al.
Published: (2024)

Attend Locally, Remember Linearly: Linear Attention as Cross-Frame Memory for Autoregressive Video Diffusion
by: Li, Kunyang, et al.
Published: (2026)

Compress Guidance in Conditional Diffusion Sampling
by: Dinh, Anh-Dung, et al.
Published: (2024)

Detecting, Explaining, and Mitigating Memorization in Diffusion Models
by: Wen, Yuxin, et al.
Published: (2024)

Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility
by: Hao, Yutong, et al.
Published: (2025)

Generative Physical AI in Vision: A Survey
by: Liu, Daochang, et al.
Published: (2025)

Learnability-Guided Diffusion for Dataset Distillation
by: Chan-Santiago, Jeffrey A., et al.
Published: (2026)

Filtering Memorization from Parameter-Space in Diffusion Models
by: Zhe, Yu, et al.
Published: (2026)

How Diffusion Models Memorize
by: Kim, Juyeop, et al.
Published: (2025)

Broken Memories: Detecting and Mitigating Memorization in Diffusion Models with Degraded Generations
by: Huang, Yuanmin, et al.
Published: (2026)

Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention
by: Ren, Jie, et al.
Published: (2024)

Seeing to Ground: Visual Attention for Hallucination-Resilient MDLLMs
by: Narnaware, Vishal, et al.
Published: (2026)

CityGuessr: City-Level Video Geo-Localization on a Global Scale
by: Kulkarni, Parth Parag, et al.
Published: (2024)

MGD$^3$: Mode-Guided Dataset Distillation using Diffusion Models
by: Chan-Santiago, Jeffrey A., et al.
Published: (2025)

Redistribute Ensemble Training for Mitigating Memorization in Diffusion Models
by: Guan, Xiaoliu, et al.
Published: (2025)

PackCache: A Training-Free Acceleration Method for Unified Autoregressive Video Generation via Compact KV-Cache
by: Li, Kunyang, et al.
Published: (2026)

Implicit Neural Representation-Based Continuous Single Image Super-Resolution: An Empirical Benchmark
by: Nasir, Tayyab, et al.
Published: (2026)

Multi-scale Coarse-to-fine Modeling for Test-time Human Motion Control
by: Le, Nhat, et al.
Published: (2026)

CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V
by: Xu, Siyu, et al.
Published: (2024)

An Inversion-based Measure of Memorization for Diffusion Models
by: Ma, Zhe, et al.
Published: (2024)

PTQ4DiT: Post-training Quantization for Diffusion Transformers
by: Wu, Junyi, et al.
Published: (2024)

LIME: Localized Image Editing via Attention Regularization in Diffusion Models
by: Simsar, Enis, et al.
Published: (2023)

Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data
by: Kumar, Aakash, et al.
Published: (2024)

DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-ID
by: Siddiqui, Nyle, et al.
Published: (2024)

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space
by: Ding, Tianxingjian, et al.
Published: (2025)

Diffexplainer: Towards Cross-modal Global Explanations with Diffusion Models
by: Pennisi, Matteo, et al.
Published: (2024)

FreeText: Training-Free Text Rendering in Diffusion Transformers via Attention Localization and Spectral Glyph Injection
by: Zhang, Ruiqiang, et al.
Published: (2026)

Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models
by: Liu, Xiao, et al.
Published: (2024)

Mitigating Memorization in Text-to-Image Diffusion via Region-Aware Prompt Augmentation and Multimodal Copy Detection
by: Chen, Yunzhuo, et al.
Published: (2026)

Cross-View Open-Vocabulary Object Detection in Aerial Imagery
by: Kini, Jyoti, et al.
Published: (2025)

TimeLogic: A Temporal Logic Benchmark for Video QA
by: Swetha, Sirnam, et al.
Published: (2025)

GVD: Guiding Video Diffusion Model for Scalable Video Distillation
by: Li, Kunyang, et al.
Published: (2025)

UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video Diffusion Models via Training-Free Unified Attention Control
by: Xia, Tian, et al.
Published: (2024)

LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba
by: Fu, Yunxiang, et al.
Published: (2024)

Seeing Eye to AI: Comparing Human Gaze and Model Attention in Video Memorability
by: Kumar, Prajneya, et al.
Published: (2023)

On Memorization in Diffusion Models
by: Gu, Xiangming, et al.
Published: (2023)

You Don't Need All That Attention: Surgical Memorization Mitigation in Text-to-Image Diffusion Models
by: Zhao, Kairan, et al.
Published: (2026)