Geometric Regularity in Deterministic Sampling Dynamics of Diffusion-based Generative Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Chen, Defang, Zhou, Zhenyu, Wang, Can, Lyu, Siwei |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
On the Trajectory Regularity of ODE-based Diffusion Sampling
por: Chen, Defang, et al.
Publicado: (2024)
por: Chen, Defang, et al.
Publicado: (2024)
A Geometric Perspective on Diffusion Models
por: Chen, Defang, et al.
Publicado: (2023)
por: Chen, Defang, et al.
Publicado: (2023)
Analyzing and Improving Fast Sampling of Text-to-Image Diffusion Models
por: Zhou, Zhenyu, et al.
Publicado: (2026)
por: Zhou, Zhenyu, et al.
Publicado: (2026)
Fully AI-Generated Image Detection: Definition, Recent Advances and Challenges
por: Xu, Qijie, et al.
Publicado: (2025)
por: Xu, Qijie, et al.
Publicado: (2025)
Simple and Fast Distillation of Diffusion Models
por: Zhou, Zhenyu, et al.
Publicado: (2024)
por: Zhou, Zhenyu, et al.
Publicado: (2024)
Hessian Geometry of Latent Space in Generative Models
por: Lobashev, Alexander, et al.
Publicado: (2025)
por: Lobashev, Alexander, et al.
Publicado: (2025)
Dreaming up scale invariance via inverse renormalization group
por: Rançon, Adam, et al.
Publicado: (2025)
por: Rançon, Adam, et al.
Publicado: (2025)
Input Space Mode Connectivity in Deep Neural Networks
por: Vrabel, Jakub, et al.
Publicado: (2024)
por: Vrabel, Jakub, et al.
Publicado: (2024)
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps
por: Zhou, Zhenyu, et al.
Publicado: (2023)
por: Zhou, Zhenyu, et al.
Publicado: (2023)
DICE: Distilling Classifier-Free Guidance into Text Embeddings
por: Zhou, Zhenyu, et al.
Publicado: (2025)
por: Zhou, Zhenyu, et al.
Publicado: (2025)
Computing critical exponents in 3D Ising model via pattern recognition/deep learning approach
por: Burt, Timothy A.
Publicado: (2024)
por: Burt, Timothy A.
Publicado: (2024)
Envisioning Future Deep Learning Theories: Some Basic Concepts and Characteristics
por: Su, Weijie J.
Publicado: (2021)
por: Su, Weijie J.
Publicado: (2021)
Exploring the Landscape of Non-Equilibrium Memories with Neural Cellular Automata
por: Pajouheshgar, Ehsan, et al.
Publicado: (2025)
por: Pajouheshgar, Ehsan, et al.
Publicado: (2025)
Improved Sample Complexity Bounds for Diffusion Model Training
por: Gupta, Shivam, et al.
Publicado: (2023)
por: Gupta, Shivam, et al.
Publicado: (2023)
Exploring explicit coarse-grained structure in artificial neural networks
por: Yang, Xi-Ci, et al.
Publicado: (2022)
por: Yang, Xi-Ci, et al.
Publicado: (2022)
Knowledge Translation: A New Pathway for Model Compression
por: Sun, Wujie, et al.
Publicado: (2024)
por: Sun, Wujie, et al.
Publicado: (2024)
Stochastic Sampling from Deterministic Flow Models
por: Singh, Saurabh, et al.
Publicado: (2024)
por: Singh, Saurabh, et al.
Publicado: (2024)
RegMix: Adversarial Mutual and Generalization Regularization for Enhancing DNN Robustness
por: Liu, Zhenyu, et al.
Publicado: (2025)
por: Liu, Zhenyu, et al.
Publicado: (2025)
Taming Generative Diffusion Prior for Universal Blind Image Restoration
por: Tu, Siwei, et al.
Publicado: (2024)
por: Tu, Siwei, et al.
Publicado: (2024)
Dynamical Regimes of Diffusion Models
por: Biroli, Giulio, et al.
Publicado: (2024)
por: Biroli, Giulio, et al.
Publicado: (2024)
Knowledge Distillation with Refined Logits
por: Sun, Wujie, et al.
Publicado: (2024)
por: Sun, Wujie, et al.
Publicado: (2024)
Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior
por: Wu, Zike, et al.
Publicado: (2024)
por: Wu, Zike, et al.
Publicado: (2024)
Conditional Image Synthesis with Diffusion Models: A Survey
por: Zhan, Zheyuan, et al.
Publicado: (2024)
por: Zhan, Zheyuan, et al.
Publicado: (2024)
Geometric Trajectory Diffusion Models
por: Han, Jiaqi, et al.
Publicado: (2024)
por: Han, Jiaqi, et al.
Publicado: (2024)
Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models
por: Guo, Xingzhuo, et al.
Publicado: (2025)
por: Guo, Xingzhuo, et al.
Publicado: (2025)
An Analysis of Regularization and Fokker-Planck Residuals in Diffusion Models for Image Generation
por: Niemann, Onno, et al.
Publicado: (2026)
por: Niemann, Onno, et al.
Publicado: (2026)
Deterministic World Models for Verification of Closed-loop Vision-based Systems
por: Geng, Yuang, et al.
Publicado: (2025)
por: Geng, Yuang, et al.
Publicado: (2025)
Steering Dynamical Regimes of Diffusion Models by Breaking Detailed Balance
por: Lu, Haiqi, et al.
Publicado: (2026)
por: Lu, Haiqi, et al.
Publicado: (2026)
Visual Diffusion Models are Geometric Solvers
por: Goren, Nir, et al.
Publicado: (2025)
por: Goren, Nir, et al.
Publicado: (2025)
A Sampling-Based Domain Generalization Study with Diffusion Generative Models
por: Zhu, Ye, et al.
Publicado: (2023)
por: Zhu, Ye, et al.
Publicado: (2023)
Diverse via bounded Agreement: Geometric Regularization for Multimodal Fusion
por: Xia, Zixuan, et al.
Publicado: (2026)
por: Xia, Zixuan, et al.
Publicado: (2026)
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
por: Lu, Cheng, et al.
Publicado: (2022)
por: Lu, Cheng, et al.
Publicado: (2022)
Test-time Alignment of Diffusion Models without Reward Over-optimization
por: Kim, Sunwoo, et al.
Publicado: (2025)
por: Kim, Sunwoo, et al.
Publicado: (2025)
TorchCP: A Python Library for Conformal Prediction
por: Huang, Jianguo, et al.
Publicado: (2024)
por: Huang, Jianguo, et al.
Publicado: (2024)
Anchor-based Multi-view Subspace Clustering with Hierarchical Feature Descent
por: Ou, Qiyuan, et al.
Publicado: (2023)
por: Ou, Qiyuan, et al.
Publicado: (2023)
Thermodynamically Optimal Regularization under Information-Geometric Constraints
por: Caraffa, Laurent
Publicado: (2026)
por: Caraffa, Laurent
Publicado: (2026)
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
por: Bai, Lichen, et al.
Publicado: (2024)
por: Bai, Lichen, et al.
Publicado: (2024)
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models
por: Máté, Bálint, et al.
Publicado: (2024)
por: Máté, Bálint, et al.
Publicado: (2024)
Diffuse and Disperse: Image Generation with Representation Regularization
por: Wang, Runqian, et al.
Publicado: (2025)
por: Wang, Runqian, et al.
Publicado: (2025)
Sequential Posterior Sampling with Diffusion Models
por: Stevens, Tristan S. W., et al.
Publicado: (2024)
por: Stevens, Tristan S. W., et al.
Publicado: (2024)
Ejemplares similares
-
On the Trajectory Regularity of ODE-based Diffusion Sampling
por: Chen, Defang, et al.
Publicado: (2024) -
A Geometric Perspective on Diffusion Models
por: Chen, Defang, et al.
Publicado: (2023) -
Analyzing and Improving Fast Sampling of Text-to-Image Diffusion Models
por: Zhou, Zhenyu, et al.
Publicado: (2026) -
Fully AI-Generated Image Detection: Definition, Recent Advances and Challenges
por: Xu, Qijie, et al.
Publicado: (2025) -
Simple and Fast Distillation of Diffusion Models
por: Zhou, Zhenyu, et al.
Publicado: (2024)