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A GPU-friendly Geometric Data Model and Algebra for Spatial Queries
Triangle Rejection Sampling for Density-Equipped Meshes on GPU
A GPU-based Approach for Massive Model Rendering with Frame-to-Frame Coherence
Data Approximation over Triangle Meshes
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers
GPU Based Creation of Texture-, Normal- and Occlusionmaps for Simplified Meshes - Stanford Bunny
Unity URP test - procedural mesh generation on gpu
GPU Day 2020 - Bitwise reproducible execution of unstructured mesh applications (Bálint Siklósi)
GPU Based Creation of Texture-, Normal- and Occlusionmaps for Simplified Meshes - Calculator
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Last Updated: October 19, 2026
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URL: ieeexplore.ieee.org/document/7139808. SIGGRAPH 2021 Technical Paper by Ahmed H. Mahmoud, Serban D. Porumbescu, John D. Owens Full paper and code ... My talk at ACM SIGMOD 2020. Paper Abstract: ------------------------- The availability of low cost sensors has led to an ... Non-uniform random point sampling on 3D surfaces offers a powerful framework to capture complex distributions such as fur ... Lecture 11: In this lecture, professor Hamann covers data approximation over Given a highly tesselated and textured
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