Dynamic Mesh Reconstruction (GitHub Repo)
Dynamic 2D Gaussians (D-2DGS) is a new technique for reconstructing accurate meshes from sparse image input. Unlike previous methods that struggle with mesh quality, D-2DGS uses 2D Gaussians to represent geometry and captures deformations through controlled points.
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Train GNNs on Large Graphs with FastGL (22 minute read)
FastGL is a GPU-efficient framework designed to speed up the training of Graph Neural Networks (GNNs) on massive graphs. It reduces data traffic and enhances memory efficiency by optimizing the sampling, memory, and computation phases of GNN training.
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