✨SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations

📝 Summary:
SCAIL is a framework that improves character animation to studio-grade quality. It uses a novel 3D pose representation and a diffusion-transformer with full-context pose injection, achieving state-of-the-art realism and reliability.

🔹 Publication Date: Published on Dec 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05905
• PDF: https://arxiv.org/pdf/2512.05905

🔹 Models citing this paper:
• https://huggingface.co/zai-org/SCAIL-Preview

==================================

For more data science resources:
✓ https://t.me/DataScienceT

#CharacterAnimation #AI #3DAnimation #DeepLearning #ComputerGraphics

✨One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfer

📝 Summary:
One-to-All Animation is a unified framework for high-fidelity character animation and image pose transfer. It tackles misaligned and partially visible references using self-supervised outpainting, a robust reference extractor, and identity-robust pose control to outperform existing methods.

🔹 Publication Date: Published on Nov 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.22940
• PDF: https://arxiv.org/pdf/2511.22940
• Project Page: https://ssj9596.github.io/one-to-all-animation-project/
• Github: https://github.com/ssj9596/One-to-All-Animation

🔹 Models citing this paper:
• https://huggingface.co/MochunniaN1/One-to-All-14b
• https://huggingface.co/MochunniaN1/One-to-All-1.3b_2
• https://huggingface.co/MochunniaN1/One-to-All-1.3b_1

✨ Datasets citing this paper:
• https://huggingface.co/datasets/MochunniaN1/One-to-All-sub

==================================

For more data science resources:
✓ https://t.me/DataScienceT

#CharacterAnimation #PoseTransfer #ComputerVision #AI #DeepLearning

✨Animate Any Character in Any World

📝 Summary:
AniX extends controllable-entity models to enable diverse, user-defined character interactions in static 3D environments via natural language. It synthesizes temporally coherent videos through conditional autoregressive video generation, allowing characters to perform open-ended actions.

🔹 Publication Date: Published on Dec 18

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.17796
• PDF: https://arxiv.org/pdf/2512.17796
• Project Page: https://snowflakewang.github.io/AniX/
• Github: https://github.com/snowflakewang/AniX

==================================

For more data science resources:
✓ https://t.me/DataScienceT

#GenerativeAI #VideoGeneration #CharacterAnimation #NLP #3D