LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis 事件

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis arXiv:2603.20176v3 Announce Type: replace Abstract: Recent work has shown that neural networks can perform 3D tasks such as Novel View Synthesis (NVS) without explicit 3D reconstruction. Even so, we argue that strong 3D inductive biases are still helpful in the design of such networks. We show this point by introducing LagerNVS, an encoder-decoder neural network for NVS that builds on `3D-aware' latent features. The encod