Real2Sim reconstructs editable dynamic driving scenes as temporally continuous Gaussians integrated with a differentiable MPM physics solver for high-fidelity simulation of interactions and collisions.
Cruise: Cooperative reconstruction and editing in v2x scenarios using gaussian splatting
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2representative citing papers
YOGO enforces a fixed Gaussian budget during training via a deterministic controller, and the dense Immersion dataset shifts evaluation from sparse-view interpolation to physical fidelity.
citing papers explorer
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Real2Sim: A Physics-driven and Editable Gaussian Splatting Framework for Autonomous Driving Scenes
Real2Sim reconstructs editable dynamic driving scenes as temporally continuous Gaussians integrated with a differentiable MPM physics solver for high-fidelity simulation of interactions and collisions.
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You Only Gaussian Once: Controllable 3D Gaussian Splatting for Ultra-Densely Sampled Scenes
YOGO enforces a fixed Gaussian budget during training via a deterministic controller, and the dense Immersion dataset shifts evaluation from sparse-view interpolation to physical fidelity.