AI RESEARCH
WildSplatter: Feed-forward 3D Gaussian Splatting with Appearance Control from Unconstrained Images
arXiv CS.CV
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ArXi:2604.21182v1 Announce Type: new We propose WildSplatter, a feed-forward 3D Gaussian Splatting (3DGS) model for unconstrained images with unknown camera parameters and varying lighting conditions. 3DGS is an effective scene representation that enables high-quality, real-time rendering; however, it typically requires iterative optimization and multi-view images captured under consistent lighting with known camera parameters. WildSplatter is trained on unconstrained photo collections and jointly learns 3D Gaussians and appearance embeddings conditioned on input images.