ViVo introduces a diverse multi-view volumetric video dataset with raw multi-camera RGB-depth data, calibration, masks, and point clouds to support reconstruction and compression research, with benchmarks highlighting limitations of current methods.
3d gaussian splatting for real-time radiance field rendering
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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Fast-SegSim achieves real-time 3D-consistent open-vocabulary segmentation by optimizing feature accumulation in 2D Gaussian Splatting with Precise Tile Intersection and Top-K Hard Selection.
citing papers explorer
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ViVo: A Dataset for Volumetric Video Reconstruction and Compression
ViVo introduces a diverse multi-view volumetric video dataset with raw multi-camera RGB-depth data, calibration, masks, and point clouds to support reconstruction and compression research, with benchmarks highlighting limitations of current methods.
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Fast-SegSim: Real-Time Open-Vocabulary Segmentation for Robotics in Simulation
Fast-SegSim achieves real-time 3D-consistent open-vocabulary segmentation by optimizing feature accumulation in 2D Gaussian Splatting with Precise Tile Intersection and Top-K Hard Selection.