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Video Motion Capture

Animation & Motion

Open Source

  • FS

    Fast SAM 3D Body Discovered by AI

    2026

    A training-free acceleration framework that reformulates the SAM 3D Body pipeline for real-time human mesh recovery. It replaces the iterative MHR-to-SMPL bottleneck with a direct neural mapping, achieving up to a 10.9x end-to-end speedup.

    mocap pose-estimation real-time

    GitHub · arXiv · Website

  • MV

    MoCapAnything V2 Discovered by AI

    2026

    An end-to-end motion capture framework that unifies video-to-pose and pose-to-rotation learning for arbitrary skeletons from monocular videos. It supports humans, animals, and custom rigged 3D assets without relying on template-specific body models.

    mocap pose-estimation retargeting skeleton

    GitHub · arXiv · Website

  • MH

    Multi-HMR 2 Discovered by AI

    2026

    An advanced multi-person camera-centric human detection, 3D mesh recovery, and tracking framework that operates in the camera coordinate system for accurate metric 3D localization.

    mocap pose-estimation smpl-x

    GitHub · arXiv

  • ON

    OnlineHMR Discovered by AI

    2026

    A fully online framework for video-based world-grounded human mesh recovery that operates in real-time without relying on future frames or global optimization. It is highly suitable for interactive scenarios like AR/VR, telepresence, and real-time motion capture.

    human-mesh-recovery mocap pose-estimation

    GitHub · arXiv · Paper

  • S3

    SAM 3D Body Discovered by AI

    2026

    A promptable foundation model for robust, single-image full-body 3D human mesh recovery (HMR) that estimates body, feet, and hand poses. It introduces the Momentum Human Rig (MHR) to decouple skeletal structure and surface shape, showing strong generalization in the wild.

    foundation-model human-mesh-recovery mocap pose-estimation

    GitHub · arXiv

  • SC

    SAM3DBody-cpp Discovered by AI

    2026

    A high-performance, real-time C++ implementation of Meta's SAM 3D Body model. It supports multi-person 3D full-body reconstruction from a single camera, ONNX/ggml runtimes, and direct BVH motion capture file export.

    bvh mocap pose-estimation real-time

    GitHub

  • ST

    SAM4Dcap: Training-free Biomechanical Twin System from Monocular Video Discovered by AI

    2026

    An open-source, training-free biomechanical twin system that estimates 3D human pose and biomechanical metrics from monocular video.

    biomechanics mocap monocular pose-estimation

    GitHub · arXiv

  • MM

    MAMMA: Markerless & Automatic Multi-Person Motion Action Capture Discovered by AI

    2025

    A markerless motion-capture pipeline that accurately recovers SMPL-X parameters from multi-view videos of multi-person interaction sequences.

    markerless mocap multi-person smpl-x

    GitHub · arXiv

  • MO

    MoCapAnything Discovered by AI

    2025

    A unified 3D motion capture framework that reconstructs rotation-based animations (such as BVH) for arbitrary rigged 3D assets from monocular videos, bypassing species- or template-specific limitations.

    bvh mocap pose-estimation skeleton

    Project · GitHub · arXiv

  • PE

    PersPose Discovered by AI

    2025

    A monocular 3D human pose estimation framework that introduces Perspective Encoding and Perspective Rotation to incorporate camera intrinsics directly into cropped images. This resolves depth ambiguity and significantly improves the accuracy of 3D joint reconstruction from single-camera video.

    mocap pose-estimation smpl

    GitHub · arXiv · Paper

  • PP

    PromptHMR: Promptable Human Mesh Recovery Discovered by AI

    2025

    An open-source framework for promptable human mesh recovery that allows incorporating auxiliary side information (such as 2D keypoints, bounding boxes, or text prompts) to improve 3D reconstruction accuracy in challenging scenarios like crowds and occlusions.

    human-mesh-recovery mocap pose-estimation smpl

    Project · GitHub · arXiv

  • SB

    SAM-Body4D Discovered by AI

    2025

    A training-free framework for 4D human body mesh recovery from videos. It leverages temporal continuity and diffusion-based video object segmentation to extend SAM 3D Body to video sequences, ensuring temporal consistency and robustness under occlusions.

    4d-reconstruction mocap pose-estimation video-mocap

    GitHub · arXiv

  • SX

    SMPLest-X: Ultimate Scaling for Expressive Human Pose and Shape Estimation Discovered by AI

    2025

    An extended and simplified version of SMPLer-X that scales up expressive human pose and shape estimation. It replaces the component guiding module with a minimalist transformer decoder, significantly boosting hand and body pose estimation accuracy.

    mocap pose-estimation smpl-x

    GitHub · arXiv · Hugging Face

  • GW

    GVHMR: World-Grounded Human Motion Recovery via Gravity-View Coordinates Discovered by AI

    2024

    A world-grounded human motion recovery framework that estimates gravity-aware human poses from monocular video. By defining a novel Gravity-View coordinate system, it leverages gravity priors to avoid accumulated errors and reconstructs stable 3D motion in global coordinates.

    mocap pose-estimation smpl

    Project · GitHub · arXiv

  • MH

    Multi-HMR Discovered by AI

    2024

    A single-shot model for multi-person whole-body 3D human mesh recovery from a single RGB image, predicting body, hands, facial expressions, and 3D location in camera coordinates.

    human-mesh-recovery mocap pose-estimation

    GitHub · arXiv

  • SA

    Sapiens Discovered by AI

    2024

    A family of high-resolution foundation models developed by Meta for human-centric vision tasks, including 2D/3D pose estimation, body-part segmentation, and depth estimation.

    foundation-model mocap pose-estimation

    GitHub · arXiv

  • TA

    TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation Discovered by AI

    2024

    Introduces a discrete token-based pose representation and a Threshold-Adaptive Loss Scaling (TALS) loss to constrain predictions to valid human poses, achieving state-of-the-art accuracy in 3D human mesh recovery from single images and video frames.

    mesh-recovery mocap pose-estimation smpl

    GitHub · arXiv

  • TG

    TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos Discovered by AI

    2024

    A two-stage method to reconstruct a human's global trajectory and motion from in-the-wild videos by robustifying SLAM to recover camera motion and using a video transformer model to regress kinematic body motion.

    mocap pose-estimation smpl trajectory

    Project · GitHub · arXiv

  • 4H

    4D-Humans (HMR 2.0) Discovered by AI

    2023

    A fully transformer-based framework for reconstructing and tracking human meshes over time from monocular video, advancing the state of the art in handling complex poses.

    mesh-recovery mocap tracking transformer

    GitHub · arXiv

  • CE

    Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video Discovered by AI

    2023

    A video-based 3D human mesh recovery framework that introduces 3D pose as an intermediary and utilizes a co-evolution decoder to perform pose and mesh interactions for consistent and smooth motion estimation.

    mesh-recovery mocap pose-estimation smpl

    Project · GitHub · arXiv

  • HA

    HaMeR Discovered by AI

    2023

    A robust transformer-based hand mesh recovery model designed to reconstruct 3D hands from monocular input with high accuracy and robustness.

    hand-pose mesh-recovery mocap transformer

    GitHub · arXiv

  • HX

    HybrIK-X: Hybrid Analytical-Neural Inverse Kinematics for Whole-Body Mesh Recovery Discovered by AI

    2023

    A holistic whole-body mesh recovery framework that combines 3D keypoint estimation with a hybrid analytical-neural inverse kinematics (IK) solver to reconstruct expressive body, hand, and face meshes.

    inverse-kinematics mesh-recovery mocap pose-estimation

    GitHub · arXiv

  • PO

    PoseFormerV2 Discovered by AI

    2023

    An efficient and robust transformer-based 3D human pose estimation framework that operates in the frequency domain. It reduces computational complexity and improves robustness against noisy 2D joint detections in long video sequences.

    3d-pose pose-estimation transformer

    GitHub · arXiv

  • SS

    SLAHMR: Simultaneous Localization and Human Mesh Recovery Discovered by AI

    2023

    An optimization-based framework that decouples human and camera motion from monocular videos in the wild. It places multiple moving people and the camera into a unified global coordinate frame, enabling accurate trajectory tracking and motion capture.

    mocap pose-estimation tracking

    Project · GitHub · arXiv

  • SX

    SMPLer-X Discovered by AI

    2023

    A generalist foundation model for expressive human pose and shape estimation, scaling up training to 4.5M instances to capture body, hands, and face motion.

    foundation-model mocap pose-estimation smpl-x

    GitHub · arXiv

  • WH

    WHAM Discovered by AI

    2023

    A framework for reconstructing world-grounded 3D human motion from monocular video, integrating camera motion estimation and temporal context to achieve accurate global trajectories and reduce foot sliding.

    human-mesh-recovery mocap pose-estimation

    GitHub · arXiv

  • CC

    CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation Discovered by AI

    2022

    A top-down human pose and shape estimation method that carries full-frame location information into the crop-based network. This global perspective enables highly accurate prediction of global rotation and translation in the original camera coordinate system.

    mocap pose-estimation smpl

    GitHub · arXiv

  • DA

    DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation Discovered by AI

    2022

    A highly efficient framework for video-based 2D and 3D human pose estimation that achieves a 10x speedup by sparsely sampling video frames and using a sample-denoise-recover pipeline to reconstruct the full motion sequence.

    efficiency mocap pose-estimation temporal

    GitHub · arXiv

  • MO

    MotionBERT Discovered by AI

    2022

    A unified pre-training framework that learns human motion representations from heterogeneous data to solve 3D pose estimation, mesh recovery, and action recognition.

    mocap motion-representation pose-estimation pre-training

    GitHub · arXiv

  • XA

    XR Animator Discovered by AI

    2022

    An open-source, AI-based full-body motion capture application designed for VTubing and 3D character animation, supporting real-time tracking of body, face, and hands from any standard webcam or video file.

    mocap vtuber webcam

    GitHub

  • BL

    BlendArMocap Discovered by AI

    2021

    A Blender add-on that enables real-time markerless motion tracking and capture directly inside Blender using MediaPipe and Rigify.

    blender mediapipe mocap

    GitHub

  • EA

    EasyMocap Discovered by AI

    2021

    An open-source toolbox for markerless human motion capture and 3D reconstruction from monocular or multi-view videos.

    3d-reconstruction markerless mocap multi-view

    GitHub

  • FR

    FreeMoCap Discovered by AI

    2021

    An open-source, markerless 3D motion capture system that allows users to extract high-quality motion data from video recordings using consumer-grade cameras.

    3d-motion markerless mocap pose-estimation

    GitHub

  • GG

    GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras Discovered by AI

    2021

    A global human mesh recovery method designed for monocular videos captured by dynamic cameras. It integrates a deep generative motion infiller to reconstruct continuous human trajectories and poses even during severe or long-term occlusions.

    mocap occlusion pose-estimation

    GitHub · arXiv

  • SY

    SysMocap Discovered by AI

    2021

    A real-time 3D motion capture system designed for virtual character animation and VTubing, utilizing lightweight pose estimation models.

    mocap real-time vtuber

    GitHub

  • FR

    FrankMocap Discovered by AI

    2020

    An open-source, fast, and easy-to-use system for estimating 3D hand and body poses simultaneously from single-view videos.

    3d-pose body-pose hand-pose mocap

    GitHub

  • MM

    MMPose Discovered by AI

    2020

    OpenMMLab's comprehensive pose estimation toolbox providing state-of-the-art models for 2D/3D human pose, whole-body tracking, and video motion capture.

    3d-pose mocap pose-estimation

    GitHub

  • VV

    VIBE: Video Inference for Human Body Pose and Shape Estimation Discovered by AI

    2019

    A video-based 3D human pose and shape estimation method that leverages a recurrent neural network (GRU) and adversarial training with the AMASS motion capture dataset to produce temporally consistent and realistic SMPL body model sequences.

    mesh-recovery mocap pose-estimation smpl

    GitHub · arXiv

  • VI

    VideoPose3D Discovered by AI

    2018

    An efficient 3D human pose estimation model in video using dilated temporal convolutions over 2D keypoint trajectories. It introduces a semi-supervised training method using back-projection to leverage unlabeled video data.

    3d-pose pose-estimation temporal-convolution

    GitHub · arXiv

Proprietary / Industry Tools

  • RV

    Rokoko Vision Discovered by AI

    2023

    A browser-based AI motion capture tool that extracts 3D character animations from webcam feeds or uploaded video files. It supports single-camera and dual-camera setups for enhanced tracking accuracy and integrates with Rokoko Studio for cleanup and retargeting.

    browser-based dual-camera mocap pose-estimation

    Website

  • WS

    Wonder Studio Discovered by AI

    2023

    An AI-powered cloud platform that automatically animates, lights, and composes 3D CG characters into live-action video. It performs multi-camera or single-camera motion capture, camera tracking, and actor replacement, exporting clean FBX/OBJ motion data and camera tracks to Blender, Maya, or Unreal Engine.

    actor-replacement mocap vfx

    Website

  • RV

    Rokoko Video Discovered by AI

    2022

    A free browser-based AI motion capture tool by Rokoko that extracts 3D character animation from video clips or webcams, exporting directly to FBX, BVH, or major game engines.

    animation browser-based free mocap

    Website

  • KI

    Kinetix Discovered by AI

    2020

    An AI-powered 3D human motion platform that converts video clips into custom 3D character animations and emotes. It automates motion capture, cleaning, and retargeting, allowing creators to apply animations to any compatible 3D avatar and stream them directly into games or virtual worlds.

    emotes mocap retargeting

    Website

  • DA

    DeepMotion (Animate 3D)

    A commercial markerless motion-capture service that converts ordinary video into 3D animation (FBX/BVH/GLB), enabling mocap without a suit or studio.

    api commercial markerless-mocap

    Website

  • MA

    Move.ai

    A markerless multi-camera motion-capture service producing high-quality 3D motion from standard cameras, used by indie and mid-size studios.

    api commercial markerless-mocap

    Website