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Actanywhere
Overview :
ActAnywhere is a generative model for automatically generating video backgrounds that match the motion and appearance of the foreground subject. This task involves synthesizing backgrounds that are consistent with the foreground subject's movement and appearance while also aligning with the artist's creative intent. ActAnywhere leverages the power of large-scale video diffusion models, specifically tailored for this task. It takes a sequence of foreground subject segmentation as input, uses an image as a conditioning frame describing the desired scene, and generates a coherent video that aligns with the conditioning frame, achieving realistic foreground-background interaction. The model is trained on a large-scale human-object interaction video dataset. Extensive evaluations demonstrate its superior performance compared to baselines and its ability to generalize to diverse distribution samples, including non-human subjects.
Target Users :
ActAnywhere can automatically generate corresponding backgrounds for videos containing humans or other subjects, reducing manual adjustment workloads and improving video production efficiency.
Use Cases
- Use a video segmentation sequence containing human movement and a seaside picture to generate a synthetic video of a person running on the beach.
- Use a video segmentation sequence containing dance movements and a picture of an ancient palace to generate a video effect of dancing in the palace.
- Use a video segmentation of a car driving and a picture of skyscrapers to generate a video effect of a car driving in a city cityscape.
Features
- Generates video backgrounds that match the conditioning image based on the input foreground subject segmentation sequence.
- The generated backgrounds will be coordinated with the foreground subject's motion and appearance.
- Supports conditioning images as synthesized frames containing subjects or just background frames.
- Can generate video backgrounds with different camera movements.
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