RGE-GS uses a learned pixel-wise reward filter and convergence-aware Gaussian training to improve cross-lane novel view synthesis for driving scenes.
Patchmatch: A randomized correspon- dence algorithm for structural image editing
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RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors
RGE-GS uses a learned pixel-wise reward filter and convergence-aware Gaussian training to improve cross-lane novel view synthesis for driving scenes.