F-RNG: Feed-Forward Relightable Neural Gaussians 事件

F-RNG: Feed-Forward Relightable Neural Gaussians arXiv:2605.25975v1 Announce Type: cross Abstract: Capturing relightable 3D assets from real-world objects is a widely researched problem. Several per-scene optimization-based methods, based on 3D Gaussian splatting (3DGS), support relighting; however, they usually require dense input views, and their overfitting nature makes it difficult to generalize across scenes. Unlike per-scene optimization methods, generalized feed-forward models can direct