| Grid Diffusion Models for Text-to-Video Generation |  |  |  | CVPR, 2024 |
| MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators | |  | | Apr., 2024 |
| Mora: Enabling Generalist Video Generation via A Multi-Agent Framework | | - | - | Mar., 2024 |
| VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis | | - | - | Mar., 2024 |
| Genie: Generative Interactive Environments | | - | | Feb., 2024 |
| Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis | | - | | Feb., 2024 |
| Lumiere: A Space-Time Diffusion Model for Video Generation | | - | | Jan, 2024 |
| UNIVG: TOWARDS UNIFIED-MODAL VIDEO GENERATION | | - | | Jan, 2024 |
| VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models | |  | | Jan, 2024 |
| 360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model | | - | | Jan, 2024 |
| MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation | | - | | Jan, 2024 |
| VideoDrafter: Content-Consistent Multi-Scene Video Generation with LLM | | - | | Jan, 2024 |
| A Recipe for Scaling up Text-to-Video Generation with Text-free Videos | |  | | Dec, 2023 |
| InstructVideo: Instructing Video Diffusion Models with Human Feedback | | | | Dec, 2023 |
| VideoLCM: Video Latent Consistency Model | | - | - | Dec, 2023 |
| Photorealistic Video Generation with Diffusion Models | | - | | Dec, 2023 |
| Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation | | | | Dec, 2023 |
| Delving Deep into Diffusion Transformers for Image and Video Generation | | - | | Dec, 2023 |
| StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter | |  | | Nov, 2023 |
| MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation | | - | | Nov, 2023 |
| ART•V: Auto-Regressive Text-to-Video Generation with Diffusion Models | |  | | Nov, 2023 |
| Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets | |  | | Nov, 2023 |
| FusionFrames: Efficient Architectural Aspects for Text-to-Video Generation Pipeline | |  | | Nov, 2023 |
| MoVideo: Motion-Aware Video Generation with Diffusion Models | | - | | Nov, 2023 |
| Make Pixels Dance: High-Dynamic Video Generation | | - | | Nov, 2023 |
| Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning | | - | | Nov, 2023 |
| Optimal Noise pursuit for Augmenting Text-to-Video Generation | | - | - | Nov, 2023 |
| VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning | | - | | Nov, 2023 |
| VideoCrafter1: Open Diffusion Models for High-Quality Video Generation | | | | Oct, 2023 |
| SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction | |  | | Oct, 2023 |
| DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors | |  | | Oct., 2023 |
| LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation | |  | | Oct., 2023 |
| DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model | |  | | Oct, 2023 |
| MotionDirector: Motion Customization of Text-to-Video Diffusion Models | |  | | Oct, 2023 |
| VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning | |  | | Sep., 2023 |
| Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation | |  | | Sep., 2023 |
| LaVie: High-Quality Video Generation with Cascaded Latent Diffusion Models | |  | | Sep., 2023 |
| Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation | |  | | Sep., 2023 |
| VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation | | - | | Sep., 2023 |
| MobileVidFactory: Automatic Diffusion-Based Social Media Video Generation for Mobile Devices from Text | | - | - | Jul., 2023 |
| Text2Performer: Text-Driven Human Video Generation | |  | | Apr., 2023 |
| AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning | |  | | Jul., 2023 |
| Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with Large Language Models | | - | | Aug., 2023 |
| SimDA: Simple Diffusion Adapter for Efficient Video Generation | |  | | CVPR, 2024 |
| Dual-Stream Diffusion Net for Text-to-Video Generation | | - | - | Aug., 2023 |
| ModelScope Text-to-Video Technical Report | |  | | Aug., 2023 |
| InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation | |  | - | Jul., 2023 |
| VideoFactory: Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation | | - | - | May, 2023 |
| Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models | | - | | May, 2023 |
| Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models | | - | | - |
| Latent-Shift: Latent Diffusion with Temporal Shift | | - | | - |
| Probabilistic Adaptation of Text-to-Video Models | | - | | Jun., 2023 |
| NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation | | - | | Mar., 2023 |
| ED-T2V: An Efficient Training Framework for Diffusion-based Text-to-Video Generation | - | - | - | IJCNN, 2023 |
| MagicVideo: Efficient Video Generation With Latent Diffusion Models | | - | | - |
| Phenaki: Variable Length Video Generation From Open Domain Textual Description | | - | | - |
| Imagen Video: High Definition Video Generation With Diffusion Models | | - | | - |
| VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation | | | | - |
| MAGVIT: Masked Generative Video Transformer | | - | | Dec., 2022 |
| Make-A-Video: Text-to-Video Generation without Text-Video Data | | - | | - |
| Latent Video Diffusion Models for High-Fidelity Video Generation With Arbitrary Lengths | |  | | Nov., 2022 |
| CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers | |  | - | May, 2022 |
| Video Diffusion Models | | - | | - |
