Origins of Creativity in Attention-Based Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Finn, Emma, Keller, T. Anderson, Theodosis, Manos, Ba, Demba E. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Artistic Signatures: Symmetry Discovery and Style Transfer
by: Finn, Emma, et al.
Published: (2024)
by: Finn, Emma, et al.
Published: (2024)
Block-Recurrent Dynamics in Vision Transformers
by: Jacobs, Mozes, et al.
Published: (2025)
by: Jacobs, Mozes, et al.
Published: (2025)
Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis
by: Kouzelis, Theodoros, et al.
Published: (2024)
by: Kouzelis, Theodoros, et al.
Published: (2024)
Traveling Waves Integrate Spatial Information Through Time
by: Jacobs, Mozes, et al.
Published: (2025)
by: Jacobs, Mozes, et al.
Published: (2025)
Flow Equivariant Recurrent Neural Networks
by: Keller, T. Anderson
Published: (2025)
by: Keller, T. Anderson
Published: (2025)
Kuramoto Orientation Diffusion Models
by: Song, Yue, et al.
Published: (2025)
by: Song, Yue, et al.
Published: (2025)
Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed Selection
by: Zhang, Yunzhe, et al.
Published: (2026)
by: Zhang, Yunzhe, et al.
Published: (2026)
Creative Portraiture: Exploring Creative Adversarial Networks and Conditional Creative Adversarial Networks
by: Hereu, Sebastian, et al.
Published: (2024)
by: Hereu, Sebastian, et al.
Published: (2024)
TrajLearn: Trajectory Prediction Learning using Deep Generative Models
by: Nadiri, Amirhossein, et al.
Published: (2024)
by: Nadiri, Amirhossein, et al.
Published: (2024)
ACE: Attentional Concept Erasure in Diffusion Models
by: Carter, Finn
Published: (2025)
by: Carter, Finn
Published: (2025)
Attention Frequency Modulation: Training-Free Spectral Modulation of Diffusion Cross-Attention
by: Oh, Seunghun, et al.
Published: (2026)
by: Oh, Seunghun, et al.
Published: (2026)
Not Every Image is Worth a Thousand Words: Quantifying Originality in Stable Diffusion
by: Haviv, Adi, et al.
Published: (2024)
by: Haviv, Adi, et al.
Published: (2024)
Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate
by: Lee, Byung Hyun, et al.
Published: (2025)
by: Lee, Byung Hyun, et al.
Published: (2025)
Privacy Protection in Personalized Diffusion Models via Targeted Cross-Attention Adversarial Attack
by: Xu, Xide, et al.
Published: (2024)
by: Xu, Xide, et al.
Published: (2024)
Attention in Diffusion Model: A Survey
by: Hua, Litao, et al.
Published: (2025)
by: Hua, Litao, et al.
Published: (2025)
EDiT: Efficient Diffusion Transformers with Linear Compressed Attention
by: Becker, Philipp, et al.
Published: (2025)
by: Becker, Philipp, et al.
Published: (2025)
Unsupervised Representation Learning from Sparse Transformation Analysis
by: Song, Yue, et al.
Published: (2024)
by: Song, Yue, et al.
Published: (2024)
Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models
by: Motamed, Saman, et al.
Published: (2024)
by: Motamed, Saman, et al.
Published: (2024)
94% on CIFAR-10 in 3.29 Seconds on a Single GPU
by: Jordan, Keller
Published: (2024)
by: Jordan, Keller
Published: (2024)
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
by: Helbling, Alec, et al.
Published: (2025)
by: Helbling, Alec, et al.
Published: (2025)
LVSA: Training-Free Sparse Attention for Long Video Diffusion
by: Glorian, Gael, et al.
Published: (2026)
by: Glorian, Gael, et al.
Published: (2026)
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection
by: Behrendt, Finn, et al.
Published: (2024)
by: Behrendt, Finn, et al.
Published: (2024)
Research on Anomaly Detection Methods Based on Diffusion Models
by: Chen, Yi
Published: (2025)
by: Chen, Yi
Published: (2025)
MultiST: A Cross-Attention-Based Multimodal Model for Spatial Transcriptomic
by: Wang, Wei, et al.
Published: (2026)
by: Wang, Wei, et al.
Published: (2026)
CreativeVR: Diffusion-Prior-Guided Approach for Structure and Motion Restoration in Generative and Real Videos
by: Panambur, Tejas, et al.
Published: (2025)
by: Panambur, Tejas, et al.
Published: (2025)
Elucidating the Design Space of Arbitrary-Noise-Based Diffusion Models
by: Qiu, Xingyu, et al.
Published: (2025)
by: Qiu, Xingyu, et al.
Published: (2025)
Improving Adversarial Energy-Based Model via Diffusion Process
by: Geng, Cong, et al.
Published: (2024)
by: Geng, Cong, et al.
Published: (2024)
Mixture of Distributions Matters: Dynamic Sparse Attention for Efficient Video Diffusion Transformers
by: Liu, Yuxi, et al.
Published: (2026)
by: Liu, Yuxi, et al.
Published: (2026)
Is an Image Also Worth 16x16=256 Superpixels? A Framework for Attentional Image Classification
by: Avelar, Pedro Henrique da Costa, et al.
Published: (2026)
by: Avelar, Pedro Henrique da Costa, et al.
Published: (2026)
Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning
by: Ren, Mengye
Published: (2026)
by: Ren, Mengye
Published: (2026)
CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation
by: Kalischek, Nikolai, et al.
Published: (2025)
by: Kalischek, Nikolai, et al.
Published: (2025)
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models
by: Vasconcelos, Cristina N., et al.
Published: (2024)
by: Vasconcelos, Cristina N., et al.
Published: (2024)
Improving Diffusion-Based Generative Models via Approximated Optimal Transport
by: Kim, Daegyu, et al.
Published: (2024)
by: Kim, Daegyu, et al.
Published: (2024)
A Sampling-Based Domain Generalization Study with Diffusion Generative Models
by: Zhu, Ye, et al.
Published: (2023)
by: Zhu, Ye, et al.
Published: (2023)
Interpretable Diffusion Models with B-cos Networks
by: Bernold, Nicola, et al.
Published: (2025)
by: Bernold, Nicola, et al.
Published: (2025)
Synthesizer Based Efficient Self-Attention for Vision Tasks
by: Zhu, Guangyang, et al.
Published: (2022)
by: Zhu, Guangyang, et al.
Published: (2022)
Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments
by: Lillemark, Hansen Jin, et al.
Published: (2026)
by: Lillemark, Hansen Jin, et al.
Published: (2026)
Attend Locally, Remember Linearly: Linear Attention as Cross-Frame Memory for Autoregressive Video Diffusion
by: Li, Kunyang, et al.
Published: (2026)
by: Li, Kunyang, et al.
Published: (2026)
Sparse Forcing: Native Trainable Sparse Attention for Real-time Autoregressive Diffusion Video Generation
by: Xu, Boxun, et al.
Published: (2026)
by: Xu, Boxun, et al.
Published: (2026)
Diffusion-Based Representation Learning
by: Mittal, Sarthak, et al.
Published: (2021)
by: Mittal, Sarthak, et al.
Published: (2021)
Similar Items
-
Learning Artistic Signatures: Symmetry Discovery and Style Transfer
by: Finn, Emma, et al.
Published: (2024) -
Block-Recurrent Dynamics in Vision Transformers
by: Jacobs, Mozes, et al.
Published: (2025) -
Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis
by: Kouzelis, Theodoros, et al.
Published: (2024) -
Traveling Waves Integrate Spatial Information Through Time
by: Jacobs, Mozes, et al.
Published: (2025) -
Flow Equivariant Recurrent Neural Networks
by: Keller, T. Anderson
Published: (2025)