UAVFF3D introduces a geometry-aware real-synthetic benchmark and evaluation protocol for feed-forward UAV 3D reconstruction that supports domain adaptation and reduces errors in camera pose and scene geometry.
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
S2C-3D reconstructs complete high-fidelity 3D scenes from as few as 6-8 images by finetuning a diffusion model on scene data, applying consistency-conditioned sampling, and planning trajectories for full coverage.
citing papers explorer
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UAVFF3D: A Geometry-Aware Benchmark for Feed-Forward UAV 3D Reconstruction
UAVFF3D introduces a geometry-aware real-synthetic benchmark and evaluation protocol for feed-forward UAV 3D reconstruction that supports domain adaptation and reduces errors in camera pose and scene geometry.
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Sparse-to-Complete: From Sparse Image Captures to Complete 3D Scenes
S2C-3D reconstructs complete high-fidelity 3D scenes from as few as 6-8 images by finetuning a diffusion model on scene data, applying consistency-conditioned sampling, and planning trajectories for full coverage.