Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)
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Updated
Aug 18, 2020 - Python
Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)
Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022
A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes
Implementation for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''
The official implementation of the PR2020 paper: Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward
Code of the CVPR 2024 paper "Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models"
Augmentation of a monocular image using a CNN generated depth map of the scene.
The official implementation of the paper titled "A High-Performance Learning-Based Framework for Monocular 3D Point Cloud Reconstruction" accepted in the IEEE Journal of Radio Frequency Identification (JRFID) for 2024
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