Starred repositories
[BMVC2023] Widely Applicable Strong Baseline for Sports Ball Detection and Tracking
Code for "Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views" (CVPR 2019, T-PAMI 2021)
The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"
The official repository of the RePoGen paper
High-resolution models for human tasks.
Easy to use SOTA Top-Down Multi-person Pose Estimation Models in PyTorch
Official implementation for SIGGRAPH 2023 paper "Learning Physically Simulated Tennis Skills from Broadcast Videos"
The official PyTorch implementation of the paper "Human Motion Diffusion Model"
A tool to fit SMPL parameters from 3D-pose datasets that contain key-points of human body.
Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.
Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)
ViewDiff generates high-quality, multi-view consistent images of a real-world 3D object in authentic surroundings. (CVPR2024).
TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos
Blender 3.6, 3.3, 2.93 & 2.8x add-on that allows streaming of data into Blender without freezing the interface (using ZeroMQ sockets).
Blender Socket implementation with Matlab/Simulink for data visualization purposes
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Unofficial PyTorch implementation of TrackNet
[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
Development Kit for the SoccerNet Challenge