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✨Structure From Tracking: Distilling Structure-Preserving Motion for Video Generation
📝 Summary:
SAM2VideoX improves realistic video motion by distilling structure-preserving priors from a tracking model into a bidirectional diffusion model. It uses novel feature fusion and local alignment, achieving significant performance gains over prior methods.
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11792
• PDF: https://arxiv.org/pdf/2512.11792
• Project Page: https://sam2videox.github.io/
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For more data science resources:
✓ https://t.me/DataScienceT
#VideoGeneration #DiffusionModels #ComputerVision #DeepLearning #MotionTracking
📝 Summary:
SAM2VideoX improves realistic video motion by distilling structure-preserving priors from a tracking model into a bidirectional diffusion model. It uses novel feature fusion and local alignment, achieving significant performance gains over prior methods.
🔹 Publication Date: Published on Dec 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11792
• PDF: https://arxiv.org/pdf/2512.11792
• Project Page: https://sam2videox.github.io/
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#VideoGeneration #DiffusionModels #ComputerVision #DeepLearning #MotionTracking