tasyiann

tasyiann's Stars

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python194k5.9k1.5k45.5k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47.3k3066665.6k

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook15k1143871.4k

• WongKinYiu/yolov7

  Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

  Language:Jupyter Notebook13.3k1111.8k4.2k

• magicleap/SuperGluePretrainedNetwork

  SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

  Language:Python3.3k56140670

• aras-p/UnityGaussianSplatting

  Toy Gaussian Splatting visualization in Unity

  Language:C#2.2k52117245

• qianqianwang68/omnimotion

  Language:Python2.1k12355125

• apple/ml-hypersim

  Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding

  Language:Python1.7k4276131

• Arthur151/ROMP

  Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]

  Language:Python1.4k41482230

• shubham-goel/4D-Humans

  4DHumans: Reconstructing and Tracking Humans with Transformers

  Language:Python1.2k22145117

• caizhongang/SMPLer-X

  Official Code for "SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation"

  Language:Python994227372

• nerfstudio-project/viser

  Web-based 3D visualization + Python

  Language:Python7992910746

• yuki-koyama/blender-cli-rendering

  Blender Python scripts for rendering images directly from command-line interface

  Language:Python7752228109

• IDEA-Research/OSX

  [CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"

  Language:Python6531614157

• akanazawa/human_dynamics

  Project for paper "Learning 3D Human Dynamics from Video"

  Language:Python629267185

• facebookresearch/projectaria_tools

  projectaria_tools is an C++/Python open-source toolkit to interact with Project Aria data

  Language:C++476409164

• yfeng95/DELTA

  Learning Disentangled Avatars with Hybrid 3D Representations. (Face, Body, Hair and Clothing)

  Language:Python24615915

• pixelite1201/BEDLAM

  Language:Python22665518

• jinlinyi/PerspectiveFields

  [CVPR 2023 Highlight] Perspective Fields for Single Image Camera Calibration

  Language:Jupyter Notebook20271720

• radekd91/inferno

  🔥🔥🔥 Set the world of 3D faces on fire with INFERNO 🔥🔥🔥

  Language:Python17082618

• mkocabas/multi-person-tracker

  Simple Multi Person Tracker implementation in PyTorch

  Language:Python15611446

• nmwsharp/neural-physics-subspaces

  Fit low-dimensional subspaces to physical systems with neural networks (SIGGRAPH 2023)

  Language:Python1557015

• stefanopini/simple-HigherHRNet

  Multi-person Human Pose Estimation with HigherHRNet in Pytorch, with TensorRT support

  Language:Python15481518

• PerceivingSystems/bedlam_render

  BEDLAM (CVPR 2023) render pipeline tools

  Language:Python1335287

• Unity-Technologies/com.unity.cv.synthetichumans

  A package for creating Unity Perception compatible synthetic people.

  Language:C#10382120

• NeelayS/supr_convertor

  A simple tool to convert SMPL-X model parameters to SUPR model parameters

  Language:Python100303

• sha2nkt/moyo_toolkit

  This is a repository for download, preprocessing, visualizing, running evaluations on the MOYO dataset.

  Language:Python742125

• Embracing/Active3DPose

  Official implementation of the ICLR2023 paper "Proactive Multi-Camera Collaboration for 3D Human Pose Estimation"

  Language:Python47444

• MPForte/SGNify

  Language:Python443228

• UPC-ViRVIG/SparsePoser

  Official Code for ACM Transactions on Graphics (TOG) paper "SparsePoser: Real-time Full-body Motion Reconstruction from Sparse Data"

  Language:C#29343