820 skills found · Page 1 of 28
facebookresearch / PifuhdHigh-Resolution 3D Human Digitization from A Single Image.
facebookresearch / DensePoseA real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
fudan-generative-vision / Champ[ECCV 2024] Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance
facebookresearch / VideoPose3DEfficient 3D human pose estimation in video using 2D keypoint trajectories
vladmandic / HumanHuman: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition
Tencent-Hunyuan / HY Motion 1.0HY-Motion model for 3D human motion or 3D character animation generation.
weihaox / Awesome Digital HumanDigital Human Resource: 2D/3D/4D Human Modeling, Avatar Generation & Animation, Clothed People Digitalization, Virtual Try-On, and Others.
jeffffffli / HybrIKOfficial code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021
una-dinosauria / 3d Pose BaselineA simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
EricGuo5513 / HumanML3DHumanML3D: A large and diverse 3d human motion-language dataset.
open-mmlab / Mmhuman3dOpenMMLab 3D Human Parametric Model Toolbox and Benchmark
MaliosDark / Wifi 3d FusionWiFi-3D-Fusion is an open-source research project that leverages WiFi CSI signals and deep learning to estimate 3D human pose, fusing wireless sensing with computer vision techniques for next-generation spatial awareness.
EricGuo5513 / Momask CodesOfficial implementation of "MoMask: Generative Masked Modeling of 3D Human Motions (CVPR2024)"
karfly / Learnable Triangulation PytorchThis repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!
lizhe00 / AnimatableGaussiansCode of [CVPR 2024] "Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling"
rlczddl / Awesome 3d Human ReconstructionNo description available
FORTH-ModelBasedTracker / MocapNETWe present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance
nkolot / SPINRepository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"
IDEA-Research / Motion X[NeurIPS 2023] Official implementation of the paper "Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset"
mks0601 / I2L MeshNet RELEASEOfficial PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020
