Isaac Ros Pose Estimation
NVIDIA-ISAAC-ROS
Deep learned, NVIDIA-accelerated 3D object pose estimation
OPENAGENTSKILL / DIRECTORY
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1–16 / 31
Results: 31
NVIDIA-ISAAC-ROS
Deep learned, NVIDIA-accelerated 3D object pose estimation
nianticlabs
[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions
LimHyungTae
SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)
AmmarkoV
Real-time 3D full-body reconstruction from a single camera, Multiperson BVH output, Pure C++ runtime, ONNX + ggml, 70-joint skeleton with hands.
laboshinl
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
una-dinosauria
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
MrNeRF
Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.
facebookresearch
A flexible, high-performance 3D simulator for Embodied AI research.
google-research-datasets
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and pla…
fundamentalvision
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segme…
AaronJackson
:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
rmurai0610
[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
kenshohara
3D ResNets for Action Recognition (CVPR 2018)
cleardusk
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
xtreme1-io
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
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