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Trackdiffusion SVD Stage2

Developed by pengxiang
TrackDiffusion is a diffusion model that takes target trajectories as conditional inputs and can generate videos based on trajectories.
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Release Time : 4/8/2024

Model Overview

TrackDiffusion is an innovative video generation framework that achieves fine-grained control over complex dynamics in video synthesis by using target trajectories as generation conditions. This method supports precise regulation of object motion trajectories and interaction behaviors, effectively addressing challenges such as object appearance/disappearance, scale changes, and cross-frame consistency.

Model Features

Trajectory-conditioned input
Use target trajectories as generation conditions to achieve fine-grained control over video synthesis
Complex dynamic handling
Effectively handle complex dynamic scenarios such as object appearance/disappearance and scale changes
Cross-frame consistency
Ensure cross-frame consistency of objects in the generated video

Model Capabilities

Generate videos based on trajectories
Video dynamic control
Object motion trajectory regulation

Use Cases

Video generation
Trajectory-controlled video synthesis
Generate corresponding video sequences based on the input object motion trajectories
Generate video content that matches the input trajectories
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