✨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
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#ComputerGraphics #3DAnimation #ARVR #HumanModeling #AnimationTech
📝 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
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#ComputerGraphics #3DAnimation #ARVR #HumanModeling #AnimationTech
✨MeshSplatting: Differentiable Rendering with Opaque Meshes
📝 Summary:
MeshSplatting is a novel mesh-based method for real-time novel view synthesis. It uses differentiable rendering to optimize geometry and appearance, producing high-quality meshes that integrate with AR/VR pipelines. It outperforms prior methods in quality, speed, and memory.
🔹 Publication Date: Published on Dec 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.06818
• PDF: https://arxiv.org/pdf/2512.06818
• Project Page: https://meshsplatting.github.io/
• Github: https://github.com/meshsplatting/mesh-splatting
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#DifferentiableRendering #NovelViewSynthesis #ComputerGraphics #ARVR #3DRendering
📝 Summary:
MeshSplatting is a novel mesh-based method for real-time novel view synthesis. It uses differentiable rendering to optimize geometry and appearance, producing high-quality meshes that integrate with AR/VR pipelines. It outperforms prior methods in quality, speed, and memory.
🔹 Publication Date: Published on Dec 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.06818
• PDF: https://arxiv.org/pdf/2512.06818
• Project Page: https://meshsplatting.github.io/
• Github: https://github.com/meshsplatting/mesh-splatting
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#DifferentiableRendering #NovelViewSynthesis #ComputerGraphics #ARVR #3DRendering
❤1