An explicit model using learned 3D Gaussians for volume compression encodes geometry explicitly and outperforms implicit neural representations on unstructured volumes with faster training.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
RaFI is a new framework providing a simple interface for forwarding work items between GPUs in multi-node multi-GPU data-parallel computing using CUDA and MPI.
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RAFI -- A Ray/Work Forwarding Infrastructure for Data Parallel Multi-Node/Multi-GPU Computing
RaFI is a new framework providing a simple interface for forwarding work items between GPUs in multi-node multi-GPU data-parallel computing using CUDA and MPI.