AI Agent Skills

Deep learned, NVIDIA-accelerated 3D object pose estimation

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

Real-time 3D full-body reconstruction from a single camera, Multiperson BVH output, Pure C++ runtime, ONNX + ggml, 70-joint skeleton with hands.

[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions

SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)

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…

:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

3D Computer Vision Framework

A flexible, high-performance 3D simulator for Embodied AI research.

[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…

[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors

3D ResNets for Action Recognition (CVPR 2018)

Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.