(Source: Make-A-Video, SimDA, PYoCo, SVD ,
Video LDM and Tune-A-Video)
- [News] We are planning to update the survey soon to encompass the latest work. If you have any suggestions, please feel free to contact us.
- [News] The Chinese translation is available on Zhihu. Special thanks to Dai-Wenxun for this.
Open-source Toolboxes and Foundation Models
Table of Contents
- Video Generation
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- Video Generation with other Condtions
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- Unconditional Video Generation
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- Video Enhance and Restoration
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- Video Editing
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- Text guided Video Editing
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- Modality-guided Video Editing
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- Video Understanding
- Contact
Video Generation
Data
Caption-level
Category-level
Metric and BenchMark
Text-to-Video Generation
Training-based
| Title |
arXiv |
Github |
WebSite |
Pub. & Date |
| Mora: Enabling Generalist Video Generation via A Multi-Agent Framework |
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- |
Mar., 2024 |
| VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis |
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- |
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Mar., 2024 |
| Genie: Generative Interactive Environments |
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Feb., 2024 |
| Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis |
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- |
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Feb., 2024 |
| Lumiere: A Space-Time Diffusion Model for Video Generation |
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- |
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Jan, 2024 |
| UNIVG: TOWARDS UNIFIED-MODAL VIDEO GENERATION |
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- |
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Jan, 2024 |
| VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models |
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 |
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Jan, 2024 |
| 360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model |
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- |
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Jan, 2024 |
| MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation |
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- |
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Jan, 2024 |
| VideoDrafter: Content-Consistent Multi-Scene Video Generation with LLM |
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- |
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Jan, 2024 |
| A Recipe for Scaling up Text-to-Video Generation with Text-free Videos |
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 |
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Dec, 2023 |
| InstructVideo: Instructing Video Diffusion Models with Human Feedback |
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Dec, 2023 |
| VideoLCM: Video Latent Consistency Model |
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- |
- |
Dec, 2023 |
| Photorealistic Video Generation with Diffusion Models |
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- |
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Dec, 2023 |
| Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation |
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Dec, 2023 |
| Delving Deep into Diffusion Transformers for Image and Video Generation |
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- |
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Dec, 2023 |
| StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter |
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 |
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Nov, 2023 |
| MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation |
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- |
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Nov, 2023 |
| ART•V: Auto-Regressive Text-to-Video Generation with Diffusion Models |
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Nov, 2023 |
| Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets |
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Nov, 2023 |
| FusionFrames: Efficient Architectural Aspects for Text-to-Video Generation Pipeline |
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Nov, 2023 |
| MoVideo: Motion-Aware Video Generation with Diffusion Models |
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- |
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Nov, 2023 |
| Make Pixels Dance: High-Dynamic Video Generation |
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- |
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Nov, 2023 |
| Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning |
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- |
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Nov, 2023 |
| Optimal Noise pursuit for Augmenting Text-to-Video Generation |
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- |
- |
Nov, 2023 |
| VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning |
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- |
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Nov, 2023 |
| VideoCrafter1: Open Diffusion Models for High-Quality Video Generation |
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Oct, 2023 |
| SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction |
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Oct, 2023 |
| DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors |
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Oct., 2023 |
| LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation |
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Oct., 2023 |
| DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model |
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Oct, 2023 |
| MotionDirector: Motion Customization of Text-to-Video Diffusion Models |
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Oct, 2023 |
| VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning |
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 |
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Sep., 2023 |
| Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation |
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Sep., 2023 |
| LaVie: High-Quality Video Generation with Cascaded Latent Diffusion Models |
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Sep., 2023 |
| Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation |
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Sep., 2023 |
| VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation |
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- |
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Sep., 2023 |
| MobileVidFactory: Automatic Diffusion-Based Social Media Video Generation for Mobile Devices from Text |
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Jul., 2023 |
| Text2Performer: Text-Driven Human Video Generation |
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Apr., 2023 |
| AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning |
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Jul., 2023 |
| Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with Large Language Models |
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- |
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Aug., 2023 |
| SimDA: Simple Diffusion Adapter for Efficient Video Generation |
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 |
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CVPR, 2024 |
| Dual-Stream Diffusion Net for Text-to-Video Generation |
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- |
- |
Aug., 2023 |
| ModelScope Text-to-Video Technical Report |
|
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Aug., 2023 |
| InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation |
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- |
Jul., 2023 |
| VideoFactory: Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation |
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May, 2023 |
| Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models |
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May, 2023 |
| Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models |
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| Latent-Shift: Latent Diffusion with Temporal Shift |
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| Probabilistic Adaptation of Text-to-Video Models |
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Jun., 2023 |
| NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation |
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- |
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Mar., 2023 |
| ED-T2V: An Efficient Training Framework for Diffusion-based Text-to-Video Generation |
- |
- |
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IJCNN, 2023 |
| MagicVideo: Efficient Video Generation With Latent Diffusion Models |
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- |
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| Phenaki: Variable Length Video Generation From Open Domain Textual Description |
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- |
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| Imagen Video: High Definition Video Generation With Diffusion Models |
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| VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation |
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| MAGVIT: Masked Generative Video Transformer |
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Dec., 2022 |
| Make-A-Video: Text-to-Video Generation without Text-Video Data |
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| Latent Video Diffusion Models for High-Fidelity Video Generation With Arbitrary Lengths |
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Nov., 2022 |
| CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers |
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- |
May, 2022 |
| Video Diffusion Models |
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Training-free
| Title |
arXiv |
Github |
WebSite |
Pub. & Date |
| VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models |
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Mar, 2024 |
| TRAILBLAZER: TRAJECTORY CONTROL FOR DIFFUSION-BASED VIDEO GENERATION |
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Jan, 2024 |
| FreeInit: Bridging Initialization Gap in Video Diffusion Models |
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Dec, 2023 |
| MTVG : Multi-text Video Generation with Text-to-Video Models |
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- |
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Dec, 2023 |
| F3-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis |
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- |
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Nov, 2023 |
| AdaDiff: Adaptive Step Selection for Fast Diffusion |
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Nov, 2023 |
| FlowZero: Zero-Shot Text-to-Video Synthesis with LLM-Driven Dynamic Scene Syntax |
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Nov, 2023 |
| 🏀GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning |
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Nov, 2023 |
| FreeNoise: Tuning-Free Longer Video Diffusion Via Noise Rescheduling |
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Oct, 2023 |
| ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation |
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Oct, 2023 |
| LLM-grounded Video Diffusion Models |
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Oct, 2023 |
| Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator |
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- |
NeurIPS, 2023 |
| DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis |
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Aug, 2023 |
| Large Language Models are Frame-level Directors for Zero-shot Text-to-Video Generation |
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- |
May, 2023 |
| Text2video-Zero: Text-to-Image Diffusion Models Are Zero-Shot Video Generators |
|
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Mar., 2023 |
| PEEKABOO: Interactive Video Generation via Masked-Diffusion 🫣 |
|
 |
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CVPR, 2024 |
Video Generation with other conditions
Pose-guided Video Generation
| Title |
arXiv |
Github |
WebSite |
Pub. & Date |
| Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance |
|
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Mar., 2024 |
| Action Reimagined: Text-to-Pose Video Editing for Dynamic Human Actions |
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Mar., 2024 |
| Do You Guys Want to Dance: Zero-Shot Compositional Human Dance Generation with Multiple Persons |
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Jan., 2024 |
| DreaMoving: A Human Dance Video Generation Framework based on Diffusion Models |
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- |
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Dec., 2023 |
| MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model |
|
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Nov., 2023 |
| Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation |
|
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Nov., 2023 |
| MagicDance: Realistic Human Dance Video Generation with Motions & Facial Expressions Transfer |
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Nov., 2023 |
| DisCo: Disentangled Control for Referring Human Dance Generation in Real World |
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Jul., 2023 |
| Dancing Avatar: Pose and Text-Guided Human Motion Videos Synthesis with Image Diffusion Model |
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Aug., 2023 |
| DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion |
|
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Apr., 2023 |
| Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos |
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Apr., 2023 |
Motion-guided Video Generation
Sound-guided Video Generation
Image-guided Video Generation
| Title |
arXiv |
Github |
WebSite |
Pub. & Date |
| Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation |
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Mar., 2024 |
| AtomoVideo: High Fidelity Image-to-Video Generation |
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Mar., 2024 |
| Animated Stickers: Bringing Stickers to Life with Video Diffusion |
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Feb., 2024 |
| CONSISTI2V: Enhancing Visual Consistency for Image-to-Video Generation |
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Feb., 2024 |
| I2V-Adapter: A General Image-to-Video Adapter for Video Diffusion Models |
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Dec., 2023 |
| PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models |
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Dec., 2023 |
| DreamVideo: High-Fidelity Image-to-Video Generation with Image Retention and Text Guidance |
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Nov., 2023 |
| LivePhoto: Real Image Animation with Text-guided Motion Control |
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Nov., 2023 |
| VideoBooth: Diffusion-based Video Generation with Image Prompts |
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Nov., 2023 |
| Decouple Content and Motion for Conditional Image-to-Video Generation |
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Nov, 2023 |
| I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models |
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Nov, 2023 |
| Make-It-4D: Synthesizing a Consistent Long-Term Dynamic Scene Video from a Single Image |
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MM, 2023 |
| Generative Image Dynamics |
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Sep., 2023 |
| LaMD: Latent Motion Diffusion for Video Generation |
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Apr., 2023 |
| Conditional Image-to-Video Generation with Latent Flow Diffusion Models |
|
 |
- |
CVPR 2023 |
| NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis |
|
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CVPR 2022 |
Brain-guided Video Generation
Depth-guided Video Generation
Multi-modal guided Video Generation
| Title |
arXiv |
Github |
WebSite |
Pub. & Date |
| UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video Diffusion Models via Training-Free Unified Attention Control |
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Mar., 2024 |
| Magic-Me: Identity-Specific Video Customized Diffusion |
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Feb., 2024 |
| InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal Instructions |
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Feb., 2024 |
| Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion |
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Feb., 2024 |
| Boximator: Generating Rich and Controllable Motions for Video Synthesis |
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Feb., 2024 |
| AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning |
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Jan., 2024 |
| ActAnywhere: Subject-Aware Video Background Generation |
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Jan., 2024 |
| CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects |
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Jan., 2024 |
| MoonShot: Towards Controllable Video Generation and Editing with Multimodal Conditions |
|
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Jan., 2024 |
| PEEKABOO: Interactive Video Generation via Masked-Diffusion |
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Dec., 2023 |
| CMMD: Contrastive Multi-Modal Diffusion for Video-Audio Conditional Modeling |
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Dec., 2023 |
| Fine-grained Controllable Video Generation via Object Appearance and Context |
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Nov., 2023 |
| GPT4Video: A Unified Multimodal Large Language Model for Instruction-Followed Understanding and Safety-Aware Generation |
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Nov., 2023 |
| Panacea: Panoramic and Controllable Video Generation for Autonomous Driving |
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Nov., 2023 |
| SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models |
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Nov., 2023 |
| VideoComposer: Compositional Video Synthesis with Motion Controllability |
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Jun., 2023 |
| NExT-GPT: Any-to-Any Multimodal LLM |
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Sep, 2023 |
| MovieFactory: Automatic Movie Creation from Text using Large Generative Models for Language and Images |
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Jun, 2023 |
| Any-to-Any Generation via Composable Diffusion |
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May, 2023 |
| Mm-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation |
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- |
CVPR 2023 |
Unconditional Video Generation
U-Net based
Transformer based
Video Completion
Video Enhancement and Restoration
Video Prediction
Video Editing
General Editing Model
| Title |
arXiv |
Github |
Website |
Pub. Date |
| FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation |
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Mar., 2024 |
| FastVideoEdit: Leveraging Consistency Models for Efficient Text-to-Video Editing |
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Mar., 2024 |
| DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing |
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Mar, 2024 |
| Video Editing via Factorized Diffusion Distillation |
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Mar, 2024 |
| FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis |
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Dec, 2023 |
| MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers |
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Dec, 2023 |
| Neutral Editing Framework for Diffusion-based Video Editing |
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Dec, 2023 |
| VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence |
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Nov, 2023 |
| VIDiff: Translating Videos via Multi-Modal Instructions with Diffusion Models |
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Nov, 2023 |
| Motion-Conditioned Image Animation for Video Editing |
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Nov, 2023 |
| MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation |
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Sep, 2023 |
| MagicEdit: High-Fidelity and Temporally Coherent Video Editing |
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Aug, 2023 |
| Edit Temporal-Consistent Videos with Image Diffusion Model |
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Aug, 2023 |
| Structure and Content-Guided Video Synthesis With Diffusion Models |
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- |
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ICCV, 2023 |
| Dreamix: Video Diffusion Models Are General Video Editors |
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Feb, 2023 |
Training-free Editing Model
| Title |
arXiv |
Github |
Website |
Pub. Date |
| UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing |
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Feb, 2024 |
| Object-Centric Diffusion for Efficient Video Editing |
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Jan, 2024 |
| RealCraft: Attention Control as A Solution for Zero-shot Long Video Editing |
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Dec, 2023 |
| VidToMe: Video Token Merging for Zero-Shot Video Editing |
|
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Dec, 2023 |
| A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing |
|
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Dec, 2023 |
| AnimateZero: Video Diffusion Models are Zero-Shot Image Animators |
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Dec, 2023 |
| RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models |
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Dec, 2023 |
| BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models |
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Nov., 2023 |
| Highly Detailed and Temporal Consistent Video Stylization via Synchronized Multi-Frame Diffusion |
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Nov., 2023 |
| FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier |
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- |
Oct., 2023 |
| LatentWarp: Consistent Diffusion Latents for Zero-Shot Video-to-Video Translation |
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Nov., 2023 |
| Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models |
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Oct., 2023 |
| LOVECon: Text-driven Training-Free Long Video Editing with ControlNet |
|
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Oct., 2023 |
| FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing |
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Oct., 2023 |
| Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models |
|
 |
|
ICLR, 2024 |
| MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance |
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- |
Aug., 2023 |
| EVE: Efficient zero-shot text-based Video Editing with Depth Map Guidance and Temporal Consistency Constraints |
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- |
Aug., 2023 |
| ControlVideo: Training-free Controllable Text-to-Video Generation |
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 |
- |
May, 2023 |
| TokenFlow: Consistent Diffusion Features for Consistent Video Editing |
|
 |
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Jul., 2023 |
| VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing |
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Jun., 2023 |
| Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation |
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Jun., 2023 |
| Zero-Shot Video Editing Using Off-the-Shelf Image Diffusion Models |
|
 |
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Mar., 2023 |
| FateZero: Fusing Attentions for Zero-shot Text-based Video Editing |
|
 |
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Mar., 2023 |
| Pix2video: Video Editing Using Image Diffusion |
|
- |
|
Mar., 2023 |
| InFusion: Inject and Attention Fusion for Multi Concept Zero Shot Text based Video Editing |
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|
Aug., 2023 |
| Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising |
|
 |
|
May, 2023 |
One-shot Editing Model
| Title |
arXiv |
Github |
Website |
Pub. & Date |
| Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models |
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- |
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Feb., 2024 |
| MotionCrafter: One-Shot Motion Customization of Diffusion Models |
|
 |
- |
Dec., 2023 |
| DiffusionAtlas: High-Fidelity Consistent Diffusion Video Editing |
|
- |
|
Dec., 2023 |
| MotionEditor: Editing Video Motion via Content-Aware Diffusion |
|
 |
|
CVPR, 2024 |
| Smooth Video Synthesis with Noise Constraints on Diffusion Models for One-shot Video Tuning |
|
- |
|
Nov., 2023 |
| Cut-and-Paste: Subject-Driven Video Editing with Attention Control |
|
- |
- |
Nov, 2023 |
| StableVideo: Text-driven Consistency-aware Diffusion Video Editing |
|
 |
|
ICCV, 2023 |
| Shape-aware Text-driven Layered Video Editing |
|
- |
- |
CVPR, 2023 |
| SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for Text-guided Video Editing |
|
 |
- |
May, 2023 |
| Towards Consistent Video Editing with Text-to-Image Diffusion Models |
|
- |
- |
Mar., 2023 |
| Edit-A-Video: Single Video Editing with Object-Aware Consistency |
|
- |
|
Mar., 2023 |
| Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation |
|
 |
|
ICCV, 2023 |
| ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing |
|
 |
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May, 2023 |
| Video-P2P: Video Editing with Cross-attention Control |
|
 |
|
Mar., 2023 |
| SinFusion: Training Diffusion Models on a Single Image or Video |
|
 |
|
Nov., 2022 |
Instruct-guided Video Editing
Motion-guided Video Editing
Sound-guided Video Editing
Multi-modal Control Editing Model
Domain-specific Editing Model
Non-diffusion Editing model
Video Understanding
| Title |
arXiv |
Github |
Website |
Pub. Date |
| EchoReel: Enhancing Action Generation of Existing Video Diffusion Modelsl |
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- |
- |
Mar., 2024 |
| VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model |
|
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- |
Mar., 2024 |
| SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion |
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- |
- |
Mar., 2024 |
| VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models |
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- |
- |
Mar., 2024 |
| Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation |
|
- |
- |
Mar., 2024 |
| DiffSal: Joint Audio and Video Learning for Diffusion Saliency Prediction |
|
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- |
Mar., 2024 |
| Generative Video Diffusion for Unseen Cross-Domain Video Moment Retrieval |
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- |
- |
Jan., 2024 |
| Diffusion Reward: Learning Rewards via Conditional Video Diffusion |
|
 |
|
Dec., 2023 |
| ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models |
|
- |
|
Nov., 2023 |
| Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models |
|
 |
- |
Nov., 2023 |
| Flow-Guided Diffusion for Video Inpainting |
|
 |
- |
Nov., 2023 |
| Breathing Life Into Sketches Using Text-to-Video Priors |
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- |
- |
Nov., 2023 |
| Infusion: Internal Diffusion for Video Inpainting |
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- |
- |
Nov., 2023 |
| DiffusionVMR: Diffusion Model for Video Moment Retrieval |
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- |
- |
Aug., 2023 |
| DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation |
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- |
- |
Aug., 2023 |
| CoTracker: It is Better to Track Together |
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Aug., 2023 |
| Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations |
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ICIAP, 2023 |
| Exploring Diffusion Models for Unsupervised Video Anomaly Detection |
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Apr., 2023 |
| Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection |
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ICCV, 2023 |
| Diffusion Action Segmentation |
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Mar., 2023 |
| DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion |
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Mar., 2023 |
| DiffusionRet: Generative Text-Video Retrieval with Diffusion Model |
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ICCV, 2023 |
| MomentDiff: Generative Video Moment Retrieval from Random to Real |
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Jul., 2023 |
| Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition |
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 |
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Feb., 2023 |
| Refined Semantic Enhancement Towards Frequency Diffusion for Video Captioning |
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Nov., 2022 |
| A Generalist Framework for Panoptic Segmentation of Images and Videos |
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Oct., 2022 |
| DAVIS: High-Quality Audio-Visual Separation with Generative Diffusion Models |
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Jul., 2023 |
| CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming |
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Mar., 2023 |
| Spatial-temporal Transformer-guided Diffusion based Data Augmentation for Efficient Skeleton-based Action Recognition |
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Jul., 2023 |
| PDPP: Projected Diffusion for Procedure Planning in Instructional Videos |
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CVPR 2023 |
Contact
If you have any suggestions or find our work helpful, feel free to contact us
Homepage: Zhen Xing
Email: [email protected]
If you find our survey is useful in your research or applications, please consider giving us a star 🌟 and citing it by the following BibTeX entry.
@article{vdmsurvey,
title={A Survey on Video Diffusion Models},
author={Zhen Xing and Qijun Feng and Haoran Chen and Qi Dai and Han Hu and Hang Xu and Zuxuan Wu and Yu-Gang Jiang},
journal={arXiv preprint arXiv:2310.10647},
year={2023}
}
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ChenHsing
ChenHsing