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CryoSPARC tutorial guides users from raw data to 3D maps

CryoSPARC, a leading cryo-electron microscopy software platform, has released an introductory tutorial for version 4.0+ that walks new users through processing a small dataset from raw movie files to ...
GitHub

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM

SplaTAM has been benchmarked with Python 3.10, Torch 1.12.1 & CUDA=11.6. However, Torch 1.12 is not a hard requirement and the code has also been tested with other ...
IEEE

Invariant EKF for Map-Aided Localization Using the Raw 3D Lidar Scan Points Directly

Abstract: Map-aided localization using 3D lidar scan points is an essential and fundamental technology in the field of Intelligent Vehicles (IVs) research, which can estimate the position and ...
GitHub

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network

This is an official python implementation of PRN. PRN is a method to jointly regress dense alignment and 3D face shape in an end-to-end manner. More examples on Multi-PIE and 300VW can be seen in ...
IEEE

Vehicle Detection in Aerial Images Based on 3D Depth Maps and Deep Neural Networks

Abstract: Object detection in aerial images, particularly of vehicles, is highly important in remote sensing applications including traffic management, urban planning, parking space utilization, ...
Microsoft

Memory Over Maps: 3D Object Localization Without Reconstruction

Target localization is a prerequisite for embodied tasks such as navigation and manipulation. Conventional approaches rely on constructing explicit 3D scene representations to enable target ...