pangyyyyy

pangyyyyy's Stars

• bowenbaker/metaqnn

  Language:Python13737

• arghosh/RobustMW-Net

  Language:Python73

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.2k880

• VIPL-SLP/VAC_CSLR

  Visual Alignment Constraint for Continuous Sign Language Recognition. ( ICCV 2021)

  Language:Python12320

• 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:Python1.4k230

• mohamedhassanmus/POSA

  Populating 3D Scenes by Learning Human-Scene Interaction https://posa.is.tue.mpg.de/

  Language:Python10012

• YuliangXiu/ICON

  [CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

  Language:Python1.6k220

• yfeng95/PIXIE

  Language:Python46767

• mkocabas/SPEC

  Code for ICCV2021 paper SPEC: Seeing People in the Wild with an Estimated Camera

  Language:Python22831

• warmspringwinds/segmentation_in_style

  https://arxiv.org/abs/2107.12518

  Language:Jupyter Notebook14614

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.8k3.4k

• yuewang-cuhk/awesome-vision-language-pretraining-papers

  Recent Advances in Vision and Language PreTrained Models (VL-PTMs)

  1.1k104

• nkolot/ProHMR

  Repository for "Probabilistic Modeling for Human Mesh Recovery"

  Language:Python26423

• Gaoyiminggithub/Graphonomy

  Graphonomy: Universal Human Parsing via Graph Transfer Learning

  Language:Python29668

• saidwivedi/DSR

  [ICCV 2021] DSR: Learning to Regress Bodies from Images using Differentiable Semantic Rendering

  Language:Python927

• nkolot/GraphCMR

  Repository for the paper "Convolutional Mesh Regression for Single-Image Human Shape Reconstruction"

  Language:Python42567

• gulvarol/surreact

  Synthetic Humans for Action Recognition, IJCV 2021

  Language:Shell6811

• Arthur151/SOTA-on-monocular-3D-pose-and-shape-estimation

  State-of-the-art methods on monocular 3D pose estimation / 3D mesh recovery

  Language:Python26031

• wangzheallen/awesome-human-pose-estimation

  Human Pose Estimation Related Publication

  1.3k208

• CMU-Perceptual-Computing-Lab/openpose

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

  Language:C++31.6k7.9k

• sxyu/avatar

  Fitting SMPL human body model to depth images in CPU real-time (combining SMPLify, original Kinect; new version of OpenARK avatar)

  Language:C++10425

• learnables/learn2learn

  A PyTorch Library for Meta-learning Research

  Language:Python2.7k355

• vahidk/tfrecord

  Standalone TFRecord reader/writer with PyTorch data loaders

  Language:Python871107

• webdataset/webdataset

  A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

  Language:Python2.4k194

• google-research/meta-dataset

  A dataset of datasets for learning to learn from few examples

  Language:Jupyter Notebook768138

• open-mmlab/mmhuman3d

  OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

  Language:Python1.3k137

• syguan96/DynaBOA

  [T-PAMI 2022] Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation

  Language:Python22519

• mkocabas/PARE

  Code for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation

  Language:Python38672

• microsoft/MeshGraphormer

  Research code of ICCV 2021 paper "Mesh Graphormer"

  Language:Python40256

• open-mmlab/mmfewshot

  OpenMMLab FewShot Learning Toolbox and Benchmark

  Language:Python707118