A distributed pipeline using a pretrained feed-forward Gaussian model, global alignment, depth regularization, and distillation-based merging reconstructs sparse-view large-scale aerial scenes faster than prior methods.
Renderable neural radiance map for visual navigation,
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DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes
A distributed pipeline using a pretrained feed-forward Gaussian model, global alignment, depth regularization, and distillation-based merging reconstructs sparse-view large-scale aerial scenes faster than prior methods.