In synchronized multi-view dynamic scenes, efficient retrospective novel view synthesis is achieved with 3D Gaussian Splatting by propagating optimized Gaussians from an initial SfM point cloud without temporal deformation constraints, supported by a new Blender-based benchmark dataset framework.
Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106
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NeRF-based image augmentation enables accurate target-specific spacecraft pose estimators to be trained from only 25-400 real images without CAD models or large synthetic datasets.
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3D Gaussian Splatting for Efficient Retrospective Dynamic Scene Novel View Synthesis with a Standardized Benchmark
In synchronized multi-view dynamic scenes, efficient retrospective novel view synthesis is achieved with 3D Gaussian Splatting by propagating optimized Gaussians from an initial SfM point cloud without temporal deformation constraints, supported by a new Blender-based benchmark dataset framework.
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CAD-Free Learning of Spacecraft Pose Estimators via NeRF-Based Augmentations
NeRF-based image augmentation enables accurate target-specific spacecraft pose estimators to be trained from only 25-400 real images without CAD models or large synthetic datasets.