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.
Proceedings of the European conference on computer vision (ECCV) , pages=
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AmbiSuR adds intrinsic photometric disambiguation and a self-indication module to Gaussian Splatting to resolve ambiguities and improve surface reconstruction accuracy.
GADA corrects spatial misalignments in warped images for Gaussian Splatting via iterative deformable offsets and confidence-weighted fusion, yielding higher quality and 2.13x faster FPS than prior warping methods.
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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Revisiting Photometric Ambiguity for Accurate Gaussian-Splatting Surface Reconstruction
AmbiSuR adds intrinsic photometric disambiguation and a self-indication module to Gaussian Splatting to resolve ambiguities and improve surface reconstruction accuracy.
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GADA: Geometry-Aware Deformable Aggregation for Image-Based Gaussian Splatting
GADA corrects spatial misalignments in warped images for Gaussian Splatting via iterative deformable offsets and confidence-weighted fusion, yielding higher quality and 2.13x faster FPS than prior warping methods.