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.
3d gaussian splatting as new era: A survey.IEEE Transactions on Visualization and Computer Graphics
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Aes3D creates the first 3D scene aesthetic assessment dataset and a model that regresses aesthetic scores from 3DGS representations alone.
MMGS compresses 3DGS models to 10% primitives with preserved rendering quality and 10x training speedup by combining multi-view geometric ranking with global OT aggregation and densification.
citing papers explorer
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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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Aes3D: Aesthetic Assessment in 3D Gaussian Splatting
Aes3D creates the first 3D scene aesthetic assessment dataset and a model that regresses aesthetic scores from 3DGS representations alone.
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MMGS: 10$\times$ Compressed 3DGS through Optimal Transport Aggregation based on Multi-view Ranking
MMGS compresses 3DGS models to 10% primitives with preserved rendering quality and 10x training speedup by combining multi-view geometric ranking with global OT aggregation and densification.