sseong-mi

sseong-mi's Stars

• ageitgey/face_recognition

  The world's simplest facial recognition api for Python and the command line

  Language:Python53.1k1.6k1.3k13.5k

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python50.2k3689.3k16.2k

• suno-ai/bark

  🔊 Text-Prompted Generative Audio Model

  Language:Jupyter Notebook35.7k3294394.2k

• CMU-Perceptual-Computing-Lab/openpose

  OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

  Language:C++31k9222k7.8k

• hoya012/deep_learning_object_detection

  A paper list of object detection using deep learning.

  Language:Python11.3k622272.8k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.9k27047939

• cs231n/cs231n.github.io

  Public facing notes page

  Language:Jupyter Notebook10.2k5331144.1k

• facebookresearch/pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

  Language:Python8.7k1481.6k1.3k

• sebastianstarke/AI4Animation

  Bringing Characters to Life with Computer Brains in Unity

  Language:C++7.8k3741251.1k

• Kyome22/RunCat_for_windows

  A cute running cat animation on your windows taskbar.

  Language:C#6.5k4190586

• cocodataset/cocoapi

  COCO API - Dataset @ http://cocodataset.org/

  Language:Jupyter Notebook6.1k1125573.8k

• mdeff/fma

  FMA: A Dataset For Music Analysis

  Language:Jupyter Notebook2.2k5761437

• unrealcv/unrealcv

  UnrealCV: Connecting Computer Vision to Unreal Engine

  Language:C++1.9k98210436

• DeepMotionEditing/deep-motion-editing

  An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

  Language:Python1.6k65200257

• FORTH-ModelBasedTracker/MocapNET

  We 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

  Language:C++85036121136

• facebookresearch/QuaterNet

  Proposes neural networks that can generate animation of virtual characters for different actions.

  Language:Jupyter Notebook698271493

• MPI-IS/mesh

  MPI-IS Mesh Processing Library

  Language:Python66317101152

• laiguokun/LSTNet

  Language:Python6562522169

• omimo/PyMO

  A library for machine learning research on motion capture data

  Language:Python349221171

• HRNet/HRNet-Human-Pose-Estimation

  This repo is copied from https://github.com/leoxiaobin/deep-high-resolution-net.pytorch

  Language:Cuda25082072

• shanecolb/sphinx-ue4

  A speech recognition plugin for Unreal Engine 4. This is essentially a port of Pocketsphinx, to be used within an Unreal Engine project.

  Language:C151342481

• zonkypop/BlendyPose

  Blender Motion Capture using your camera!

  Language:Python11061245

• carlosedubarreto/b3d_mocap_import

  addon for blender to import mocap data from tools like easymocap, frankmocap and Vibe

  Language:Python10683914

• NetEase-GameAI/MoCap-Solver

  Language:Python784722

• dwgoon/nezzle

  Network Visualization using both GUI and Programming

  Language:Python27200

• Rishi-Amarnani/Crowd-and-Car-Simulation

  Crowd and Car Simulation in Unity 3D. Simulates realistic crowd behavior on a macro level with excellent performance by assigning behaviors to individual agents with no regard for other agents. Open Ended, Cooperative Final Project for UT Austin Computer Graphics Course.

  Language:C#152

• deep-diver/diffusion-models-class

  허깅페이스의 디퓨전 모델 코스에 대한 자료

  Language:Jupyter Notebook10102

• cxinsys/lpf

  Ladybird Pattern Formation (LPF)

  Language:Jupyter Notebook9103

• happy-jihye/happy-jihye.github.io

  minimal-mistakes 테마를 사용한 블로그입니다.

  Language:Jupyter Notebook60

• cxinsys/cgfs

  The examples of "Computer Graphics from Scratch" in Python

  Language:Jupyter Notebook53