✨MHR: Momentum Human Rig

📝 Summary:
MHR combines ATLASs decoupled skeleton and shape with a modern rig and Momentum-inspired pose correction. This parametric human body model provides expressive, anatomically plausible human animation with non-linear correctives for AR/VR and graphics applications.

🔹 Publication Date: Published on Nov 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.15586
• PDF: https://arxiv.org/pdf/2511.15586

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#ComputerGraphics #3DAnimation #ARVR #HumanModeling #AnimationTech

✨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

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#CharacterAnimation #AI #3DAnimation #DeepLearning #ComputerGraphics

✨Towards Seamless Interaction: Causal Turn-Level Modeling of Interactive 3D Conversational Head Dynamics

📝 Summary:
TIMAR is a new causal framework for 3D conversational head generation. It models dialogue using interleaved audio-visual contexts to predict continuous head dynamics, improving coherence and expressive variability. Experiments show TIMAR significantly reduces errors and improves performance.

🔹 Publication Date: Published on Dec 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.15340
• PDF: https://arxiv.org/pdf/2512.15340
• Project Page: https://github.com/CoderChen01/towards-seamleass-interaction/blob/main/README.md
• Github: https://github.com/CoderChen01/towards-seamleass-interaction

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#ConversationalAI #3DAnimation #HumanComputerInteraction #CausalModeling #AI

✨ActionMesh: Animated 3D Mesh Generation with Temporal 3D Diffusion

📝 Summary:
ActionMesh extends 3D diffusion models with a temporal axis to generate high-quality, rig-free animated 3D meshes. This 'temporal 3D diffusion' framework quickly creates topology-consistent animations from various inputs like video or text, achieving state-of-the-art results.

🔹 Publication Date: Published on Jan 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.16148
• PDF: https://remysabathier.github.io/actionmesh/actionmesh_2026.pdf
• Project Page: https://remysabathier.github.io/actionmesh/
• Github: https://github.com/facebookresearch/actionmesh

🔹 Models citing this paper:
• https://huggingface.co/facebook/ActionMesh

✨ Spaces citing this paper:
• https://huggingface.co/spaces/facebook/ActionMesh

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✓ https://xn--r1a.website/DataScienceT

#3DAnimation #DiffusionModels #ComputerGraphics #DeepLearning #3DModeling