Input-Adaptive Generative Dynamics in Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Xing, Yucheng, Liu, Xiaodong, Wang, Xin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources
by: Wu, Jason, et al.
Published: (2025)
by: Wu, Jason, et al.
Published: (2025)
ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models
by: Xu, Rui, et al.
Published: (2024)
by: Xu, Rui, et al.
Published: (2024)
LINA: Learning INterventions Adaptively for Physical Alignment and Generalization in Diffusion Models
by: Yu, Shu, et al.
Published: (2025)
by: Yu, Shu, et al.
Published: (2025)
AEGPO: Adaptive Entropy-Guided Policy Optimization for Diffusion Models
by: Li, Yuming, et al.
Published: (2026)
by: Li, Yuming, et al.
Published: (2026)
Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory
by: Li, Mingzhuo, et al.
Published: (2025)
by: Li, Mingzhuo, et al.
Published: (2025)
N-Tree Diffusion for Long-Horizon Wildfire Risk Forecasting
by: Xing, Yucheng, et al.
Published: (2026)
by: Xing, Yucheng, et al.
Published: (2026)
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)
Improved Diffusion-based Generative Model with Better Adversarial Robustness
by: Wang, Zekun, et al.
Published: (2025)
by: Wang, Zekun, et al.
Published: (2025)
Generative Modelling with High-Order Langevin Dynamics
by: Shi, Ziqiang, et al.
Published: (2024)
by: Shi, Ziqiang, et al.
Published: (2024)
Central-to-Local Adaptive Generative Diffusion Framework for Improving Gene Expression Prediction in Data-Limited Spatial Transcriptomics
by: Fang, Yaoyu, et al.
Published: (2026)
by: Fang, Yaoyu, et al.
Published: (2026)
SADA: Stability-guided Adaptive Diffusion Acceleration
by: Jiang, Ting, et al.
Published: (2025)
by: Jiang, Ting, et al.
Published: (2025)
Adaptive Training Meets Progressive Scaling: Elevating Efficiency in Diffusion Models
by: Li, Wenhao, et al.
Published: (2023)
by: Li, Wenhao, et al.
Published: (2023)
GalaxyDiT: Efficient Video Generation with Guidance Alignment and Adaptive Proxy in Diffusion Transformers
by: Song, Zhiye, et al.
Published: (2025)
by: Song, Zhiye, et al.
Published: (2025)
A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation
by: Liu, Jiacheng, et al.
Published: (2025)
by: Liu, Jiacheng, et al.
Published: (2025)
Contextualized Diffusion Models for Text-Guided Image and Video Generation
by: Yang, Ling, et al.
Published: (2024)
by: Yang, Ling, et al.
Published: (2024)
PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation
by: Wang, Ziyan, et al.
Published: (2025)
by: Wang, Ziyan, et al.
Published: (2025)
DiffusionSat: A Generative Foundation Model for Satellite Imagery
by: Khanna, Samar, et al.
Published: (2023)
by: Khanna, Samar, et al.
Published: (2023)
ATHENA: Adaptive Test-Time Steering for Improving Count Fidelity in Diffusion Models
by: Sepehri, Mohammad Shahab, et al.
Published: (2026)
by: Sepehri, Mohammad Shahab, et al.
Published: (2026)
A Survey on Video Diffusion Models
by: Xing, Zhen, et al.
Published: (2023)
by: Xing, Zhen, et al.
Published: (2023)
Generative Dataset Distillation Based on Diffusion Model
by: Su, Duo, et al.
Published: (2024)
by: Su, Duo, et al.
Published: (2024)
License Plate Images Generation with Diffusion Models
by: Shpir, Mariia, et al.
Published: (2025)
by: Shpir, Mariia, et al.
Published: (2025)
Continual Learning of Diffusion Models with Generative Distillation
by: Masip, Sergi, et al.
Published: (2023)
by: Masip, Sergi, et al.
Published: (2023)
TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation
by: Monsefi, Amin Karimi, et al.
Published: (2025)
by: Monsefi, Amin Karimi, 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)
Diffusion Adversarial Post-Training for One-Step Video Generation
by: Lin, Shanchuan, et al.
Published: (2025)
by: Lin, Shanchuan, et al.
Published: (2025)
DyME: Dynamic Multi-Concept Erasure in Diffusion Models with Bi-Level Orthogonal LoRA Adaptation
by: Liu, Jiaqi, et al.
Published: (2025)
by: Liu, Jiaqi, et al.
Published: (2025)
DC-DiT: Adaptive Compute and Elastic Inference for Visual Generation via Dynamic Chunking
by: Haridas, Akash, et al.
Published: (2026)
by: Haridas, Akash, et al.
Published: (2026)
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
by: Chadebec, Clément, et al.
Published: (2024)
by: Chadebec, Clément, et al.
Published: (2024)
VIBE: Video-Input Brain Encoder for fMRI Response Modeling
by: Schad, Daniel Carlström, et al.
Published: (2025)
by: Schad, Daniel Carlström, et al.
Published: (2025)
Towards a Mechanistic Explanation of Diffusion Model Generalization
by: Niedoba, Matthew, et al.
Published: (2024)
by: Niedoba, Matthew, et al.
Published: (2024)
Enhancing Diffusion Models for High-Quality Image Generation
by: Shah, Jaineet, et al.
Published: (2024)
by: Shah, Jaineet, et al.
Published: (2024)
Cortex-Grounded Diffusion Models for Brain Image Generation
by: Bongratz, Fabian, et al.
Published: (2026)
by: Bongratz, Fabian, et al.
Published: (2026)
Masked Autoencoders Are Effective Tokenizers for Diffusion Models
by: Chen, Hao, et al.
Published: (2025)
by: Chen, Hao, et al.
Published: (2025)
Di$\mathtt{[M]}$O: Distilling Masked Diffusion Models into One-step Generator
by: Zhu, Yuanzhi, et al.
Published: (2025)
by: Zhu, Yuanzhi, et al.
Published: (2025)
Diffuse and Disperse: Image Generation with Representation Regularization
by: Wang, Runqian, et al.
Published: (2025)
by: Wang, Runqian, et al.
Published: (2025)
VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models
by: Li, Edward, et al.
Published: (2025)
by: Li, Edward, et al.
Published: (2025)
MACE: Mass Concept Erasure in Diffusion Models
by: Lu, Shilin, et al.
Published: (2024)
by: Lu, Shilin, et al.
Published: (2024)
MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs
by: Mao, Jiawei, et al.
Published: (2025)
by: Mao, Jiawei, et al.
Published: (2025)
DiffiT: Diffusion Vision Transformers for Image Generation
by: Hatamizadeh, Ali, et al.
Published: (2023)
by: Hatamizadeh, Ali, et al.
Published: (2023)
Self-Guided Generation of Minority Samples Using Diffusion Models
by: Um, Soobin, et al.
Published: (2024)
by: Um, Soobin, et al.
Published: (2024)
Similar Items
-
ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources
by: Wu, Jason, et al.
Published: (2025) -
ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models
by: Xu, Rui, et al.
Published: (2024) -
LINA: Learning INterventions Adaptively for Physical Alignment and Generalization in Diffusion Models
by: Yu, Shu, et al.
Published: (2025) -
AEGPO: Adaptive Entropy-Guided Policy Optimization for Diffusion Models
by: Li, Yuming, et al.
Published: (2026) -
Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory
by: Li, Mingzhuo, et al.
Published: (2025)