MagicAnimate - Another AI Animation Tool

A Temporally Consistent Human Image Animation Framework

MagicAnimate is a novel diffusion-based framework for human avatar animation that emphasizes temporal consistency.

How to use this tool

• Firstly,upload a reference image.
• Secondly,upload a motio video.
• Then just click the magic animate button, and you will get a magic animation!

The key innovations of MagicAnimate

• A video diffusion model that encodes temporal information by incorporating temporal attention blocks into the diffusion backbone. This allows modeling of consistency across frames.
• An appearance encoder that extracts dense features from the reference image to preserve intricate details like identity, clothes, accessories etc. This is more effective than using sparse CLIP features.
• A simple video fusion technique to enable seamless transitions for long video animations.

The overall pipeline works as follows

• The reference image is encoded into an appearance embedding using the appearance encoder. In parallel, the target DensePose motion sequence is fed into a pose ControlNet to extract motion conditions. The video diffusion model then combines these signals and generates the output animation sequence with improved temporal coherence.
• For long videos, MagicAnimate employs a sliding window approach during inference. The video is divided into overlapping segments, each segment is denoised independently, and finally outputs of segments are fused by averaging predictions for overlapping parts.

Conclusions

The temporal modeling and strong appearance condition also make MagicAnimate useful for applications like cross-identity animation, unseen domain animation, and multi-person animation.

In summary, MagicAnimate advances the state-of-the-art in temporally coherent avatar animation thanks to innovations in architecture design and training strategies.