AI RESEARCH
AdaptSplat: Adapting Vision Foundation Models for Feed-Forward 3D Gaussian Splatting
arXiv CS.CV
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ArXi:2605.10239v1 Announce Type: new This work explores a simple yet powerful lightweight adapter design for feed-forward 3D Gaussian Splatting (3DGS). Existing methods typically apply complex, architecture-specific designs on top of the generic pipeline of image feature extraction $\rightarrow$ multi-view interaction $\rightarrow$ feature decoding. However, constrained by the scale bottleneck of 3D