✨3D Gaussian Splatting for Real-Time Radiance Field Rendering
📝 Summary:
This paper introduces a method using 3D Gaussians for scene representation to achieve state-of-the-art, high-quality real-time novel-view synthesis at 1080p resolution. It optimizes anisotropic Gaussians and uses a fast rendering algorithm, outperforming previous radiance field methods.
🔹 Publication Date: Published on Aug 8, 2023
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2308.04079
• PDF: https://arxiv.org/pdf/2308.04079
• Github: https://github.com/graphdeco-inria/gaussian-splatting
✨ Datasets citing this paper:
• https://huggingface.co/datasets/Voxel51/gaussian_splatting
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#3DGaussianSplatting #RadianceFields #ComputerGraphics #RealTimeRendering #NovelViewSynthesis
📝 Summary:
This paper introduces a method using 3D Gaussians for scene representation to achieve state-of-the-art, high-quality real-time novel-view synthesis at 1080p resolution. It optimizes anisotropic Gaussians and uses a fast rendering algorithm, outperforming previous radiance field methods.
🔹 Publication Date: Published on Aug 8, 2023
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2308.04079
• PDF: https://arxiv.org/pdf/2308.04079
• Github: https://github.com/graphdeco-inria/gaussian-splatting
✨ Datasets citing this paper:
• https://huggingface.co/datasets/Voxel51/gaussian_splatting
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#3DGaussianSplatting #RadianceFields #ComputerGraphics #RealTimeRendering #NovelViewSynthesis
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✨MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds
📝 Summary:
MeshCoder reconstructs complex 3D objects from point clouds into editable Blender Python scripts using a multimodal LLM. This enables superior shape-to-code reconstruction, intuitive editing via code, and enhances 3D shape understanding.
🔹 Publication Date: Published on Aug 20
🔹 Paper Links:
• arXiv Page: https://arxivexplained.com/papers/meshcoder-llm-powered-structured-mesh-code-generation-from-point-clouds
• PDF: https://arxiv.org/pdf/2508.14879
• Project Page: https://daibingquan.github.io/MeshCoder
• Github: https://daibingquan.github.io/MeshCoder
🔹 Models citing this paper:
• https://huggingface.co/InternRobotics/MeshCoder
✨ Datasets citing this paper:
• https://huggingface.co/datasets/InternRobotics/MeshCoderDataset
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#MeshCoder #LLM #3DReconstruction #PointClouds #ComputerGraphics
📝 Summary:
MeshCoder reconstructs complex 3D objects from point clouds into editable Blender Python scripts using a multimodal LLM. This enables superior shape-to-code reconstruction, intuitive editing via code, and enhances 3D shape understanding.
🔹 Publication Date: Published on Aug 20
🔹 Paper Links:
• arXiv Page: https://arxivexplained.com/papers/meshcoder-llm-powered-structured-mesh-code-generation-from-point-clouds
• PDF: https://arxiv.org/pdf/2508.14879
• Project Page: https://daibingquan.github.io/MeshCoder
• Github: https://daibingquan.github.io/MeshCoder
🔹 Models citing this paper:
• https://huggingface.co/InternRobotics/MeshCoder
✨ Datasets citing this paper:
• https://huggingface.co/datasets/InternRobotics/MeshCoderDataset
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#MeshCoder #LLM #3DReconstruction #PointClouds #ComputerGraphics