VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
Paper
•
2310.19512
•
Published
•
15
Video Generation
-
-
MagicDance: Realistic Human Dance Video Generation with Motions & Facial Expressions Transfer
Paper • 2311.12052 • Published • 31 -
Fast View Synthesis of Casual Videos
Paper • 2312.02135 • Published • 8 -
DreamVideo: Composing Your Dream Videos with Customized Subject and Motion
Paper • 2312.04433 • Published • 9 -
MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
Paper • 2312.03641 • Published • 20 -
StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation
Paper • 2312.12491 • Published • 68 -
AtomoVideo: High Fidelity Image-to-Video Generation
Paper • 2403.01800 • Published • 20
Training-free Camera Control for Video Generation
Paper • 2406.10126 • Published • 12Note 該研究提出了一種無需訓練的相機運動控制方法，能夠輕鬆應用於現有的視頻擴散模型，且在多項實驗中證明了其有效性和魯棒性。該方法為視頻生成中的相機運動控制提供了一個簡便且高效的解決方案。
-
FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention
Paper • 2407.19918 • Published • 47 -
ControlNeXt: Powerful and Efficient Control for Image and Video Generation
Paper • 2408.06070 • Published • 52 -
CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Paper • 2408.06072 • Published • 35