Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling
Paper
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2401.15977
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Published
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40
Video
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Lumiere: A Space-Time Diffusion Model for Video Generation
Paper • 2401.12945 • Published • 86 -
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
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Boximator: Generating Rich and Controllable Motions for Video Synthesis
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ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation
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MagicDance: Realistic Human Dance Video Generation with Motions & Facial Expressions Transfer
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Magic-Me: Identity-Specific Video Customized Diffusion
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Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion
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AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning
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I2V-Adapter: A General Image-to-Video Adapter for Video Diffusion Models
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DreamVideo: Composing Your Dream Videos with Customized Subject and Motion
Paper • 2312.04433 • Published • 10 -
MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
Paper • 2312.03641 • Published • 22 -
AnimateAnything: Fine-Grained Open Domain Image Animation with Motion Guidance
Paper • 2311.12886 • Published -
VideoComposer: Compositional Video Synthesis with Motion Controllability
Paper • 2306.02018 • Published • 3 -
Media2Face: Co-speech Facial Animation Generation With Multi-Modality Guidance
Paper • 2401.15687 • Published • 25 -
Customizing Motion in Text-to-Video Diffusion Models
Paper • 2312.04966 • Published • 11 -
World Model on Million-Length Video And Language With RingAttention
Paper • 2402.08268 • Published • 40 -
Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
Paper • 2311.17117 • Published • 6 -
Genie: Generative Interactive Environments
Paper • 2402.15391 • Published • 73 -
EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
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Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Paper • 2402.17177 • Published • 89 -
AnimateDiff-Lightning: Cross-Model Diffusion Distillation
Paper • 2403.12706 • Published • 18 -
SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion
Paper • 2403.12008 • Published • 21 -
V3D: Video Diffusion Models are Effective 3D Generators
Paper • 2403.06738 • Published • 31 -
DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors
Paper • 2310.12190 • Published • 12 -
Mora: Enabling Generalist Video Generation via A Multi-Agent Framework
Paper • 2403.13248 • Published • 78 -
CameraCtrl: Enabling Camera Control for Text-to-Video Generation
Paper • 2404.02101 • Published • 25 -
Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model
Paper • 2404.09967 • Published • 22 -
PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation
Paper • 2404.13026 • Published • 25 -
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
Paper • 2405.01434 • Published • 57 -
MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model
Paper • 2404.19759 • Published • 28 -
MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation
Paper • 2401.04468 • Published • 50 -
Make Pixels Dance: High-Dynamic Video Generation
Paper • 2311.10982 • Published • 69 -
Emu3: Next-Token Prediction is All You Need
Paper • 2409.18869 • Published • 95 -
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Paper • 2502.02492 • Published • 65 -
Goku: Flow Based Video Generative Foundation Models
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Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Paper • 2502.11831 • Published • 19