monocular-images

There are 0 repository under monocular-images topic.

• maudzung / RTM3D

  Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

  rtm3dreal-timemonocular-imagescenternetpytorch-implementation3d-object-detectionautonomous-vehiclesself-driving-carautonomous-drivingpytorchkitti-dataset
  Language:Python 298

• hongsukchoi / 3DCrowdNet_RELEASE

  Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022

  crowded-scenespose-estimation3d-human-mesh3d-human-shape-and-pose-estimationcvpr2022monocular-images
  Language:Python 160
• 3D-Bounding-Boxes-From-Monocular-Images

  sk-aravind / 3D-Bounding-Boxes-From-Monocular-Images

  A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes

  3d3dboundingboxdeep-mantakittimonocular-3d-detectionmonocular-imagesmultimodal-deep-learningobject-detectionpoint-cloudpytorchyolov3
  Language:Python 54

• AnuragSahu / 3D-Point-Cloud-Object-Reconstruction-from-Monoclar-RGB-Image

  Implementation for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''

  3dmonocularmonocular-imagespoint-cloudreconstruction
  Language:Python 16

• DavidStotko / Physics-guided-Shape-from-Template

  Code of the CVPR 2024 paper "Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models"

  cloth-simulationmonocular-imagesphysics-informed-neural-networksshape-from-template
  Language:Python 12

• zcc31415926 / FFNet

  The official implementation of the PR2020 paper: Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward

  object-detectionautonomous-drivingmonocular-imagesorientation-estimation
  Language:Python 9

• acvictor / Monocular-Augmentation-Depth-Map

  Augmentation of a monocular image using a CNN generated depth map of the scene.

  augmentationcnndepth-estimationdepth-mapmonocular-imagespoint-cloud
  Language:C++ 8

• AHHHZ975 / Monocular3DPointCloudReconstruction

  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

  3d-computer-vision3d-reconstructiondeep-learningmachine-learningmonocular-imagespoint-cloud-reconstruction
  Language:Python 0