ForeSplat introduces MetaGrad, a meta-gradient training rule that makes feed-forward 3DGS predictions optimization-aware so they converge faster and to higher quality upon refinement.
Flow-motion and depth network for monocular stereo and beyond.IEEE Robotics and Automation Letters, 5(2):3307–3314, 2020
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ForeSplat: Optimization-Aware Foresight for Feed-Forward 3D Gaussian Splatting
ForeSplat introduces MetaGrad, a meta-gradient training rule that makes feed-forward 3DGS predictions optimization-aware so they converge faster and to higher quality upon refinement.