TrackGo - Advanced Controllable AI Video Generation Technology

What is TrackGo?

TrackGo is an advanced, controllable AI video generation technology that provides users with a flexible and precise mechanism to control the movement of objects in videos using free-form masks and arrows. At its core is the TrackAdapter, a highly efficient and lightweight adapter that seamlessly integrates into pre-trained video generation models. The TrackAdapter's design is based on observations of the model's temporal self-attention layers, accurately activating regions corresponding to motion in the video. TrackGo achieves state-of-the-art performance in key metrics, including video quality, image quality, and motion fidelity.

TrackGo's main functions

• By shape mask and arrowUsers can freely draw masks to specify target objects or parts in the video and use arrows to indicate the desired motion trajectory, thus achieving precise control over the video content.
• TrackAdapter technologyAn innovative adapter integrated into the temporal self-attention layer of a video generation model, which improves control accuracy by adjusting the attention map to activate motion regions in the video.
• High performanceTrackGo achieves fine-grained control over video generation while maintaining high computational efficiency, reducing additional computational overhead.
• Advanced evaluation indicatorsWe use key metrics such as FVD, FID, and ObjMC to measure video quality, image quality, and motion fidelity, ensuring that the generated videos meet high standards.

TrackGo's technical principles

• User input parsingUsers specify target objects in the video using free-form masks and use arrows to indicate the motion trajectory of these objects.
• Point trajectory generationThe system automatically extracts point trajectories from user-defined masks and arrows. These point trajectories serve as a precise blueprint for video generation, guiding the subsequent generation of video frames.
• Attention graph operationsTrackAdapter uses attention maps generated by a temporal self-attention layer to identify and activate regions corresponding to motion, enabling precise control of specific parts of a video frame.
• dual-branch architectureTrackAdapter introduces an additional self-attention branch in the temporal self-attention layer, which works in parallel with the original branch and focuses on the motion of the target region, while the original branch continues to process other regions.

TrackGo's project address

• GitHub repository:https://zhtjtcz.github.io/TrackGo-Page/
• arXiv technical paper:https://arxiv.org/pdf/2408.11475

How to use TrackGo

• User interface inputUsers provide initial frames through TrackGo's user interface and use freeform masking tools to mark target objects or parts of the video that they want to control.
• Specify motion trajectoryUsers draw arrows to specify the movement trajectory of objects within the mask. The direction and position of the arrows will guide the object's movement path in the video.
• Point trajectory generationTrackGo automatically extracts point trajectories from user-input masks and arrows, which define the precise path of an object's movement in the video.
• Model processingThe extracted point trajectories are input into a pre-trained video generation model via a TrackAdapter. The TrackAdapter adjusts the model's temporal self-attention layer based on the point trajectories, enabling precise control over the video content.
• Video generationThe model generates a series of video frames based on the input point trajectory and the guidance of the TrackAdapter, creating a coherent video that conforms to the user-specified motion.

Application scenarios of TrackGo

• Film and television productionIn the post-production of movies or TV series, TrackGo can be used to generate or modify specific scenes, such as adding or adjusting the movement of objects, without having to reshoot.
• Animation ProductionAnimators can use TrackGo to control the precise movements of animated characters or objects, improving the efficiency and quality of animation production.
• Virtual Reality (VR) and Augmented Reality (AR)In VR or AR applications, TrackGo can generate dynamic video content that is synchronized with user interaction, enhancing the immersive experience.
• Game developmentGame designers can use TrackGo to create complex game animations and effects, making game characters and environments more vivid.