AI RESEARCH
AdvSplat: Adversarial Attacks on Feed-Forward Gaussian Splatting Models
arXiv CS.CV
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ArXi:2603.23686v1 Announce Type: new 3D Gaussian Splatting (3DGS) is increasingly recognized as a powerful paradigm for real-time, high-fidelity 3D reconstruction. However, its per-scene optimization pipeline limits scalability and generalization, and prevents efficient inference. Recently emerged feed-forward 3DGS models address these limitations by enabling fast reconstruction from a few input views after large-scale pre