Search Results for author:
Found 3 papers, 0 papers with code
Underground Mapping and Localization Based on Ground-Penetrating Radar
3D object reconstruction based on deep neural networks has gained increasing attention in recent years.
Depth Estimation Based on 3D Gaussian Splatting Siamese Defocus
By learning the blur levels at different focal distances of the same scene in the focal stack, the framework predicts the defocus map and Circle of Confusion (CoC) from a single defocused image, using the defocus map as input to DepthNet for monocular depth estimation.
Embodiment: Self-Supervised Depth Estimation Based on Camera Models
Depth estimation is a critical topic for robotics and vision-related tasks.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
