Video Diffusion Models: A Survey
Fuente:
arXiv
Saved in:
| Main Authors: | Melnik, Andrew, Ljubljanac, Michal, Lu, Cong, Yan, Qi, Ren, Weiming, Ritter, Helge |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Face Generation and Editing with StyleGAN: A Survey
by: Melnik, Andrew, et al.
Published: (2022)
by: Melnik, Andrew, et al.
Published: (2022)
A Survey on Video Diffusion Models
by: Xing, Zhen, et al.
Published: (2023)
by: Xing, Zhen, et al.
Published: (2023)
Lane Graph Extraction from Aerial Imagery via Lane Segmentation Refinement with Diffusion Models
by: Ruiz, Antonio, et al.
Published: (2024)
by: Ruiz, Antonio, et al.
Published: (2024)
Zero-Shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model
by: Cao, Cong, et al.
Published: (2024)
by: Cao, Cong, et al.
Published: (2024)
Redefining Temporal Modeling in Video Diffusion: The Vectorized Timestep Approach
by: Liu, Yaofang, et al.
Published: (2024)
by: Liu, Yaofang, et al.
Published: (2024)
Revoking Amnesia: RL-based Trajectory Optimization to Resurrect Erased Concepts in Diffusion Models
by: Gao, Daiheng, et al.
Published: (2025)
by: Gao, Daiheng, et al.
Published: (2025)
Diffusion Model-Based Video Editing: A Survey
by: Sun, Wenhao, et al.
Published: (2024)
by: Sun, Wenhao, et al.
Published: (2024)
GeoSceneGraph: Geometric Scene Graph Diffusion Model for Text-guided 3D Indoor Scene Synthesis
by: Ruiz, Antonio, et al.
Published: (2025)
by: Ruiz, Antonio, et al.
Published: (2025)
Progressive Autoregressive Video Diffusion Models
by: Xie, Desai, et al.
Published: (2024)
by: Xie, Desai, et al.
Published: (2024)
TerDiT: Ternary Diffusion Models with Transformers
by: Lu, Xudong, et al.
Published: (2024)
by: Lu, Xudong, et al.
Published: (2024)
AVID: Adapting Video Diffusion Models to World Models
by: Rigter, Marc, et al.
Published: (2024)
by: Rigter, Marc, et al.
Published: (2024)
VFM-VAE: Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion Models
by: Bi, Tianci, et al.
Published: (2025)
by: Bi, Tianci, et al.
Published: (2025)
Lifelong Learning of Video Diffusion Models From a Single Video Stream
by: Yoo, Jason, et al.
Published: (2024)
by: Yoo, Jason, et al.
Published: (2024)
From Synthetic Data to Real Restorations: Diffusion Model for Patient-specific Dental Crown Completion
by: Pukanec, Dávid, et al.
Published: (2026)
by: Pukanec, Dávid, et al.
Published: (2026)
Semantically Consistent Video Inpainting with Conditional Diffusion Models
by: Green, Dylan, et al.
Published: (2024)
by: Green, Dylan, et al.
Published: (2024)
Unlearning Concepts from Text-to-Video Diffusion Models
by: Liu, Shiqi, et al.
Published: (2024)
by: Liu, Shiqi, et al.
Published: (2024)
Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing
by: Wu, Sihao, et al.
Published: (2025)
by: Wu, Sihao, et al.
Published: (2025)
Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation
by: Maduabuchi, Chika, et al.
Published: (2025)
by: Maduabuchi, Chika, et al.
Published: (2025)
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models
by: Ge, Songwei, et al.
Published: (2023)
by: Ge, Songwei, et al.
Published: (2023)
Diffusion Adversarial Post-Training for One-Step Video Generation
by: Lin, Shanchuan, et al.
Published: (2025)
by: Lin, Shanchuan, et al.
Published: (2025)
Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection
by: Wang, Wenxiao, et al.
Published: (2024)
by: Wang, Wenxiao, et al.
Published: (2024)
Structure Preserving Diffusion Models
by: Lu, Haoye, et al.
Published: (2024)
by: Lu, Haoye, et al.
Published: (2024)
Vid2World: Crafting Video Diffusion Models to Interactive World Models
by: Huang, Siqiao, et al.
Published: (2025)
by: Huang, Siqiao, et al.
Published: (2025)
Attention in Diffusion Model: A Survey
by: Hua, Litao, et al.
Published: (2025)
by: Hua, Litao, et al.
Published: (2025)
Diffusion Models in Vision: A Survey
by: Croitoru, Florinel-Alin, et al.
Published: (2022)
by: Croitoru, Florinel-Alin, et al.
Published: (2022)
MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics
by: Guo, Bowei, et al.
Published: (2025)
by: Guo, Bowei, et al.
Published: (2025)
History-Guided Video Diffusion
by: Song, Kiwhan, et al.
Published: (2025)
by: Song, Kiwhan, et al.
Published: (2025)
Token Caching for Diffusion Transformer Acceleration
by: Lou, Jinming, et al.
Published: (2024)
by: Lou, Jinming, et al.
Published: (2024)
LD-ViCE: Latent Diffusion Model for Video Counterfactual Explanations
by: Varshney, Payal, et al.
Published: (2025)
by: Varshney, Payal, et al.
Published: (2025)
BAgger: Backwards Aggregation for Mitigating Drift in Autoregressive Video Diffusion Models
by: Po, Ryan, et al.
Published: (2025)
by: Po, Ryan, et al.
Published: (2025)
A Sampling-Based Domain Generalization Study with Diffusion Generative Models
by: Zhu, Ye, et al.
Published: (2023)
by: Zhu, Ye, et al.
Published: (2023)
Low-Data Supervised Adaptation Outperforms Prompting for Cloud Segmentation Under Domain Shift
by: Kethavath, Harshith, et al.
Published: (2026)
by: Kethavath, Harshith, et al.
Published: (2026)
Class-Incremental Learning: A Survey
by: Zhou, Da-Wei, et al.
Published: (2023)
by: Zhou, Da-Wei, et al.
Published: (2023)
Improving Adversarial Energy-Based Model via Diffusion Process
by: Geng, Cong, et al.
Published: (2024)
by: Geng, Cong, et al.
Published: (2024)
A Survey on Diffusion Models for Inverse Problems
by: Daras, Giannis, et al.
Published: (2024)
by: Daras, Giannis, et al.
Published: (2024)
On the Design Fundamentals of Diffusion Models: A Survey
by: Chang, Ziyi, et al.
Published: (2023)
by: Chang, Ziyi, et al.
Published: (2023)
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
by: Yu, Sihyun, et al.
Published: (2024)
by: Yu, Sihyun, et al.
Published: (2024)
Diffusion Model-based Activity Completion for AI Motion Capture from Videos
by: Huayu, Gao, et al.
Published: (2025)
by: Huayu, Gao, et al.
Published: (2025)
Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models
by: Fan, Weichen, et al.
Published: (2025)
by: Fan, Weichen, et al.
Published: (2025)
SINGER: Vivid Audio-driven Singing Video Generation with Multi-scale Spectral Diffusion Model
by: Li, Yan, et al.
Published: (2024)
by: Li, Yan, et al.
Published: (2024)
Similar Items
-
Face Generation and Editing with StyleGAN: A Survey
by: Melnik, Andrew, et al.
Published: (2022) -
A Survey on Video Diffusion Models
by: Xing, Zhen, et al.
Published: (2023) -
Lane Graph Extraction from Aerial Imagery via Lane Segmentation Refinement with Diffusion Models
by: Ruiz, Antonio, et al.
Published: (2024) -
Zero-Shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model
by: Cao, Cong, et al.
Published: (2024) -
Redefining Temporal Modeling in Video Diffusion: The Vectorized Timestep Approach
by: Liu, Yaofang, et al.
Published: (2024)