AI RESEARCH
SpectralSplat: Appearance-Disentangled Feed-Forward Gaussian Splatting for Driving Scenes
arXiv CS.CV
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ArXi:2604.03462v1 Announce Type: new Feed-forward 3D Gaussian Splatting methods have achieved impressive reconstruction quality for autonomous driving scenes, yet they entangle scene geometry with transient appearance properties such as lighting, weather, and time of day. This coupling prevents relighting, appearance transfer, and consistent rendering across multi-traversal data captured under varying environmental conditions. We present SpectralSplat, a method that disentangles appearance from geometry within a feed-forward Gaussian Splatting framework.