✨Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression
📝 Summary:
Deep Forcing is a training-free method that enhances real-time video diffusion for high-quality, long-duration generation. It uses Deep Sink for stable context and Participative Compression for efficient KV cache pruning, achieving over 12x extrapolation and improved consistency.
🔹 Publication Date: Published on Dec 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05081
• PDF: https://arxiv.org/pdf/2512.05081
• Github: https://cvlab-kaist.github.io/DeepForcing/
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For more data science resources:
✓ https://t.me/DataScienceT
#VideoGeneration #DiffusionModels #TrainingFreeAI #DeepLearning #ComputerVision
📝 Summary:
Deep Forcing is a training-free method that enhances real-time video diffusion for high-quality, long-duration generation. It uses Deep Sink for stable context and Participative Compression for efficient KV cache pruning, achieving over 12x extrapolation and improved consistency.
🔹 Publication Date: Published on Dec 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05081
• PDF: https://arxiv.org/pdf/2512.05081
• Github: https://cvlab-kaist.github.io/DeepForcing/
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#VideoGeneration #DiffusionModels #TrainingFreeAI #DeepLearning #ComputerVision
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