Consistent and controllable image-to-video synthesis, ReferenceNet for detail feature merging, pose guider for movement direction, and temporal modeling for smooth inter-frame transitions.
Merges detail features via spatial attention to preserve consistency of intricate appearance features from reference image.
Directs character's movements and ensures controllability and continuity in the generated video.
Ensures smooth inter-frame transitions between video frames, resulting in a more realistic animation.
Leverages the power of diffusion models to generate consistent and controllable image-to-video synthesis.
Accelerates inference time by up to 40% using DeepGPU (AIACC) of Alibaba Cloud.
Fashion video synthesis: turning fashion photographs into realistic, animated videos using a driving pose sequence.
Human dance generation: animating images in real-world dance scenarios.
Virtual try-on: ultra-high quality virtual try-on for any clothing and any person.
Image-to-talking-head video generation: generating talking-head videos from images.
Input a reference image and a driving pose sequence.
Use the pose guider to direct the character's movements.
Use the temporal modeling to ensure smooth inter-frame transitions.
Use the diffusion models to generate the final video.