syKevinPeng

syKevinPeng's Stars

• 20tab/bvh-python

  Python module for parsing BVH (Biovision hierarchical data) mocap files

  Language:Python23944

• mikolalysenko/parse-bvh

  Parses BioVision Hierarchy files

  Language:JavaScript81

• raulmur/ORB_SLAM2

  Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

  Language:C++9.6k4.7k

• cogsys-tuebingen/mobilestereonet

  Lightweight stereo matching network based on MobileNet blocks

  Language:Python24347

• simonalexanderson/ListenDenoiseAction

  Code to reproduce the results for our SIGGRAPH 2023 paper "Listen Denoise Action"

  Language:Python16622

• simonalexanderson/MotoricaDanceDataset

  Language:Python835

• HaydenFaulkner/TemporalEventAnnotator

  A QT tool used to annotate temporal segments of a video with events which each have unique and customisable information.

  Language:Python327

• saidwivedi/TokenHMR

  [CVPR 2024] TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation

  Language:Python25017

• google/aistplusplus_api

  API to support AIST++ Dataset: https://google.github.io/aistplusplus_dataset

  Language:Python36168

• NVlabs/GLAMR

  [CVPR 2022 Oral] Official PyTorch Implementation of "GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras”.

  Language:Python35933

• jeffffffli/NIKI

  Code of "NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation", CVPR 2023

  Language:Python27418

• jeffffffli/HybrIK

  Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021

  Language:Python1.3k150

• nghorbani/human_body_prior

  VPoser: Variational Human Pose Prior

  Language:Jupyter Notebook821146

• naver/PoseGPT

  Language:Python1234

• nghorbani/amass

  Data preparation and loader for AMASS

  Language:Jupyter Notebook68389

• nv-tlabs/vid2player3d

  Official implementation for SIGGRAPH 2023 paper "Learning Physically Simulated Tennis Skills from Broadcast Videos"

  Language:Python24027

• nghorbani/body_visualizer

  Visualization code for SMPL body model Family

  Language:Python9124

• raoyongming/DynamicViT

  [NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

  Language:Jupyter Notebook58373

• jiawei-ren/diffmimic

  [ICLR 2023] DiffMimic: Efficient Motion Mimicking with Differentiable Physics https://arxiv.org/abs/2304.03274

  Language:Python28121

• google/brax

  Massively parallel rigidbody physics simulation on accelerator hardware.

  Language:Jupyter Notebook2.4k259

• li-ronghui/LODGE

  The code the CVPR2024 paper Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives

  Language:Python1227

• mkocabas/body-model-visualizer

  GUI for visualization and interactive editing of SMPL-family body models ie. SMPL, SMPL-X, MANO, FLAME.

  Language:Python39839

• TaeryungLee/MultiAct_RELEASE

  Official PyTorch implementation of "MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels", in AAAI 2023 (Oral presentation).

  Language:Python58

• zli12321/TENOR

  Topic Modeling for Content Analysis, including LDA and various neural topic models.

  Language:Python5

• zli12321/qa_metrics

  An easy python package to run quick basic QA evaluations. This package includes standardized QA evaluation metrics and semantic evaluation metrics: Black-box and Open-Source large language model prompting and evaluation, exact match, F1 Score, PEDANT semantic match, transformer match. Our package also supports prompting OPENAI and Anthropic API.

  Language:Python375

• Smorodov/nano_smpl

  Language:C184

• vchoutas/smplx

  SMPL-X

  Language:Python1.9k319

• Mathux/ACTOR

  Official Pytorch implementation of the paper "Action-Conditioned 3D Human Motion Synthesis with Transformer VAE", ICCV 2021

  Language:Python38652

• extreme-assistant/CVPR2024-Paper-Code-Interpretation

  cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

  12.5k2.3k

• syKevinPeng/music-genre-classification

  Music genre classification from audio spectrograms using deep learning

  Language:Jupyter Notebook1