DäRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation - Supplementary Materials - A Implementation Details A.1 Architecture
–Neural Information Processing Systems
It represents a radiance field using tri-planes with three multi-resolutions for each plane: 128, 256, and 512 in both height and width, and 32 in feature depth. However, any MDE model can be utilized within our framework [19, 13, 12]. The training process takes approximately 3 hours. In other words, we can rewrite the above scheme as a closed problem. The results of DDP-NeRF with in-domain priors are 20.96,
Neural Information Processing Systems
Oct-9-2025, 08:52:07 GMT
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning (1.00)
- Vision (1.00)
- Information Technology > Artificial Intelligence