Flux4D reconstructs large-scale dynamic 4D scenes unsupervised by predicting moving 3D Gaussians from photometric losses and static regularization when trained across multiple scenes.
Splatad: Real-time li- dar and camera rendering with 3d gaussian splatting for au- tonomous driving
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
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cs.CV 2years
2025 2verdicts
UNVERDICTED 2representative citing papers
SaLF is a sparse voxel-based volumetric representation with local implicit fields that supports fast rasterization and raytracing for unified camera and LiDAR simulation in driving scenes.
citing papers explorer
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Flux4D: Flow-based Unsupervised 4D Reconstruction
Flux4D reconstructs large-scale dynamic 4D scenes unsupervised by predicting moving 3D Gaussians from photometric losses and static regularization when trained across multiple scenes.
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SaLF: Sparse Local Fields for Multi-Sensor Rendering in Real-Time
SaLF is a sparse voxel-based volumetric representation with local implicit fields that supports fast rasterization and raytracing for unified camera and LiDAR simulation in driving scenes.