2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2023
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation
Muhammad Osama Khan, Junbang Liang, Chun-Kai Wang +2
Pre-training has been an important ingredient in developing strong monocular depth estimation models in recent years. For instance, self-supervised learning (SSL) is particularly e…
cs.CV2023★ 2 cited
HR-NeuS: Recovering High-Frequency Surface Geometry via Neural Implicit Surfaces
Erich Liang, Kenan Deng, Xi Zhang +1
Recent advances in neural implicit surfaces for multi-view 3D reconstruction primarily focus on improving large-scale surface reconstruction accuracy, but often produce over-smooth…