✨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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#VideoGeneration #DiffusionModels #TrainingFreeAI #DeepLearning #ComputerVision

✨Muses: Designing, Composing, Generating Nonexistent Fantasy 3D Creatures without Training

📝 Summary:
Muses is a training-free method for generating fantastic 3D creatures. It leverages 3D skeletal structures and graph-constrained reasoning to coherently design, compose, and assemble diverse elements. This approach achieves state-of-the-art visual fidelity and alignment with text descriptions.

🔹 Publication Date: Published on Jan 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03256
• PDF: https://arxiv.org/pdf/2601.03256
• Github: https://github.com/luhexiao/Muses

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#3DGeneration #GenerativeAI #ComputerGraphics #AIArt #TrainingFreeAI