Learning Diffusion Models with Flexible Representation Guidance
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Chenyu, Zhou, Cai, Gupta, Sharut, Lin, Zongyu, Jegelka, Stefanie, Bates, Stephen, Jaakkola, Tommi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
In-Context Symmetries: Self-Supervised Learning through Contextual World Models
by: Gupta, Sharut, et al.
Published: (2024)
by: Gupta, Sharut, et al.
Published: (2024)
Understanding the Role of Equivariance in Self-supervised Learning
by: Wang, Yifei, et al.
Published: (2024)
by: Wang, Yifei, et al.
Published: (2024)
Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models
by: Gupta, Sharut, et al.
Published: (2025)
by: Gupta, Sharut, et al.
Published: (2025)
An Information Criterion for Controlled Disentanglement of Multimodal Data
by: Wang, Chenyu, et al.
Published: (2024)
by: Wang, Chenyu, et al.
Published: (2024)
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
by: Xu, Yilun, et al.
Published: (2024)
by: Xu, Yilun, et al.
Published: (2024)
Thought calibration: Efficient and confident test-time scaling
by: Wu, Menghua, et al.
Published: (2025)
by: Wu, Menghua, et al.
Published: (2025)
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
by: Wen, Tiansheng, et al.
Published: (2025)
by: Wen, Tiansheng, et al.
Published: (2025)
Think While You Generate: Discrete Diffusion with Planned Denoising
by: Liu, Sulin, et al.
Published: (2024)
by: Liu, Sulin, et al.
Published: (2024)
Variational Control for Guidance in Diffusion Models
by: Pandey, Kushagra, et al.
Published: (2025)
by: Pandey, Kushagra, et al.
Published: (2025)
Diffusion Models without Classifier-free Guidance
by: Tang, Zhicong, et al.
Published: (2025)
by: Tang, Zhicong, et al.
Published: (2025)
REG: Rectified Gradient Guidance for Conditional Diffusion Models
by: Gao, Zhengqi, et al.
Published: (2025)
by: Gao, Zhengqi, et al.
Published: (2025)
Don't Play Favorites: Minority Guidance for Diffusion Models
by: Um, Soobin, et al.
Published: (2023)
by: Um, Soobin, et al.
Published: (2023)
Training-Free Representation Guidance for Diffusion Models with a Representation Alignment Projector
by: Zu, Wenqiang, et al.
Published: (2026)
by: Zu, Wenqiang, et al.
Published: (2026)
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
by: Chung, Hyungjin, et al.
Published: (2024)
by: Chung, Hyungjin, et al.
Published: (2024)
Integrating Frequency Guidance into Multi-source Domain Generalization for Bearing Fault Diagnosis
by: Tu, Xiaotong, et al.
Published: (2025)
by: Tu, Xiaotong, et al.
Published: (2025)
Correcting Diffusion Generation through Resampling
by: Liu, Yujian, et al.
Published: (2023)
by: Liu, Yujian, et al.
Published: (2023)
A Noise is Worth Diffusion Guidance
by: Ahn, Donghoon, et al.
Published: (2024)
by: Ahn, Donghoon, et al.
Published: (2024)
Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models
by: Wu, Xiaoyu, et al.
Published: (2024)
by: Wu, Xiaoyu, et al.
Published: (2024)
Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?
by: Liang, Qiyao, et al.
Published: (2024)
by: Liang, Qiyao, et al.
Published: (2024)
Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models
by: Ahn, Donghoon, et al.
Published: (2025)
by: Ahn, Donghoon, et al.
Published: (2025)
When Test-Time Guidance Is Enough: Fast Image and Video Editing with Diffusion Guidance
by: Ghorbel, Ahmed, et al.
Published: (2026)
by: Ghorbel, Ahmed, et al.
Published: (2026)
No Alignment Needed for Generation: Learning Linearly Separable Representations in Diffusion Models
by: Yun, Junno, et al.
Published: (2025)
by: Yun, Junno, et al.
Published: (2025)
DASH: Dual-Branch Score Distillation for Guidance-Calibrated Compact Diffusion Models
by: Shafi, Abdullah Al, et al.
Published: (2026)
by: Shafi, Abdullah Al, et al.
Published: (2026)
Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention
by: Hong, Susung
Published: (2024)
by: Hong, Susung
Published: (2024)
Prompt-Based Safety Guidance Is Ineffective for Unlearned Text-to-Image Diffusion Models
by: Shin, Jiwoo, et al.
Published: (2025)
by: Shin, Jiwoo, et al.
Published: (2025)
BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance
by: Ye, Xin, et al.
Published: (2025)
by: Ye, Xin, et al.
Published: (2025)
Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance
by: Ahn, Donghoon, et al.
Published: (2024)
by: Ahn, Donghoon, et al.
Published: (2024)
Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model
by: Zhong, Jincheng, et al.
Published: (2025)
by: Zhong, Jincheng, et al.
Published: (2025)
Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance
by: Sani, Matina Mahdizadeh, et al.
Published: (2026)
by: Sani, Matina Mahdizadeh, et al.
Published: (2026)
Learning Emergent Modular Representations in Multi-modality Medical Vision Foundation Models
by: He, Yuting, et al.
Published: (2026)
by: He, Yuting, et al.
Published: (2026)
Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models
by: Jang, Sangwon, et al.
Published: (2025)
by: Jang, Sangwon, et al.
Published: (2025)
An Interpretable Representation Learning Approach for Diffusion Tensor Imaging
by: Singh, Vishwa Mohan, et al.
Published: (2025)
by: Singh, Vishwa Mohan, et al.
Published: (2025)
SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
by: Jalali, Mohammad, et al.
Published: (2025)
by: Jalali, Mohammad, et al.
Published: (2025)
FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance
by: Kang, Mintong, et al.
Published: (2025)
by: Kang, Mintong, et al.
Published: (2025)
Masked Face Recognition with Generative-to-Discriminative Representations
by: Ge, Shiming, et al.
Published: (2024)
by: Ge, Shiming, et al.
Published: (2024)
Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation
by: Um, Soobin, et al.
Published: (2025)
by: Um, Soobin, et al.
Published: (2025)
Improving Diffusion-Based Image Editing Faithfulness via Guidance and Scheduling
by: Cho, Hansam, et al.
Published: (2025)
by: Cho, Hansam, et al.
Published: (2025)
Navigating with Annealing Guidance Scale in Diffusion Space
by: Yehezkel, Shai, et al.
Published: (2025)
by: Yehezkel, Shai, et al.
Published: (2025)
Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts
by: Yuan, Yike, et al.
Published: (2025)
by: Yuan, Yike, et al.
Published: (2025)
Synthetic History: Evaluating Visual Representations of the Past in Diffusion Models
by: Palmini, Maria-Teresa De Rosa, et al.
Published: (2025)
by: Palmini, Maria-Teresa De Rosa, et al.
Published: (2025)
Similar Items
-
In-Context Symmetries: Self-Supervised Learning through Contextual World Models
by: Gupta, Sharut, et al.
Published: (2024) -
Understanding the Role of Equivariance in Self-supervised Learning
by: Wang, Yifei, et al.
Published: (2024) -
Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models
by: Gupta, Sharut, et al.
Published: (2025) -
An Information Criterion for Controlled Disentanglement of Multimodal Data
by: Wang, Chenyu, et al.
Published: (2024) -
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
by: Xu, Yilun, et al.
Published: (2024)