✨Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising

📝 Summary:
Time-to-Move TTM is a training-free framework for precise motion and appearance controlled video generation using I2V diffusion models. It employs crude reference animations as motion cues and introduces dual-clock denoising for flexible alignment, outperforming training-based methods.

🔹 Publication Date: Published on Nov 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.08633
• PDF: https://arxiv.org/pdf/2511.08633
• Project Page: https://time-to-move.github.io/
• Github: https://github.com/time-to-move/TTM

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#VideoGeneration #DiffusionModels #GenerativeAI #MotionControl #ComputerVision