SCAIL-2 Dual Character Motion Drive

This is an AI video generation application based on SCAIL 2 SAM3 dual-subject tracking dual-person skeleton motion guidance loop continuation.

Users only need to upload a dual-person or dual-subject reference image and a dual-person driving video. The system will automatically recognize the actions of the two subjects in the driving video and enable the two characters in the reference image to follow the video and complete the motion transfer.

Unlike ordinary single-person image-to-video processes, this workflow is specifically designed for dual-person/dual-subject scenarios. It uses SAM3 to simultaneously track two subjects and maintains the left-to-right relationship between the characters, reducing common issues in dual-person videos such as role swapping, missing characters, identity drift, and motion misalignment.

The entire process is completed automatically: driving video reading, reference image size unification, driving video size unification, dual-subject recognition, dual-path mask generation, SCAIL 2 skeleton motion guidance, initial segment generation, loop continuation, overlapping frame processing, color matching, frame sequence merging, and final video output.

The final output is a dual-subject motion video, suitable for dual-person dance, dual-character interaction, dual-person motion transfer, dual-person short dramas, dual-character showcases, AI dance videos, animal or anthropomorphic character motion guidance, and RunningHub video-based application packaging.

If packaged as a RunningHub application, the core selling point can be directly expressed as:

Upload a dual-person reference image and a dual-person driving video to generate an AI video with synchronized dual-character motion in one click.