Topic: smpl Goto Github
Some thing interesting about smpl
Some thing interesting about smpl
smpl,ECCV2020 - Official code repository for the paper : STAR - A Sparse Trained Articulated Human Body Regressor
User: ahmedosman
Home Page: https://star.is.tue.mpg.de
smpl,[CVPR 2023] Code repository for HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
User: akashsengupta1997
smpl,Code repository for the paper: Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild (BMVC 2020)
User: akashsengupta1997
smpl,Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]
User: arthur151
Home Page: https://www.yusun.work/
smpl,NumPy, TensorFlow and PyTorch implementation of human body SMPL model and infant body SMIL model.
User: calciferzh
smpl,C++ Implementation of SMPL: A Skinned Multi-Person Linear Model
User: chongyi-zheng
smpl,A simple and fast GUI tool to visualize and compare the SMPL sequences and scenes in real-time.
User: climbingdaily
smpl,Виртуальная примерка 3D модели одежды на видео (что-то в духе Clometrica)
User: cr00z
smpl,Measure the SMPL body model
User: davidboja
smpl,Fit an SMPL body model to a scan
User: davidboja
smpl,Human Pose Estimation in Real-World Metric Coordinates
User: dorianhenning
smpl,Code used in the GRADE framework to convert SMPL animation data to the USD file format to be used in the IsaacSim/Omniverse simulators.
User: eliabntt
Home Page: https://eliabntt.github.io/GRADE-RR/
smpl,A set of tools to visualize and interact with sequences of 3D data.
Organization: eth-ait
smpl,AIST++ Dataset Webpage: https://google.github.io/aistplusplus_dataset
Organization: google
smpl,Embed human pose information into neural radiance fields (NeRF) to render images of humans in desired poses :running: from novel views
User: hannesstark
smpl,This repo equips the official CLIFF [ECCV 2022 Oral] with better detector, better tracker. Support multi-person, motion interpolation, motion smooth and SMPLify fitting.
User: haofanwang
smpl,Dynamic human body shape model
User: haoranchen06
Home Page: https://github.com/HaoranChen01/DBS
smpl,[TPAMI 2020] Learning 3D Human Shape and Pose from Dense Body Parts
User: hongwenzhang
Home Page: https://hongwenzhang.github.io/DensePose2SMPL
smpl,[ICCV 2021, Oral] PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
User: hongwenzhang
Home Page: https://hongwenzhang.github.io/pymaf
smpl,GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models (CVPR 2024)
Organization: hustvl
Home Page: https://taoranyi.com/gaussiandreamer/
smpl,Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021
User: jeff-sjtu
smpl,This repository contains an example script to convert from a SMPL model to a bvh file.
User: kosukefukazawa
smpl,Smplify-X implementation. (2024. 07. 21 No Error & Recent version)
User: kyujinhan
smpl,Fully textured and animatable human body mesh reconstruction from a single image
User: lev1khachatryan
smpl,Estimate the pose and shape under clothing given a static 3D scan of a human
User: maria-korosteleva
smpl,SMPL model obstacle support for Arcsim-0.2.1
User: mcdo
smpl,A Wiki on Body-Modelling Technology, maintained by Meshcapade GmbH.
Organization: meshcapade
Home Page: https://meshcapade.wiki
smpl,Multi-Garment Network implementation for Python3
User: minar09
Home Page: https://github.com/bharat-b7/MultiGarmentNetwork
smpl,Windows running repository of the pix2surf code of the paper "Learning to Transfer Texture from Clothing Images to 3D Humans"
User: minar09
Home Page: https://github.com/aymenmir1/pix2surf
smpl,Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
User: mkocabas
Home Page: https://arxiv.org/abs/1912.05656
smpl,CVPR 2022 - Official code repository for the paper: Accurate 3D Body Shape Regression using Metric and Semantic Attributes.
User: muelea
Home Page: https://shapy.is.tue.mpg.de/
smpl,Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
User: nicholasli1995
Home Page: https://arxiv.org/abs/2006.07778
smpl,TensorFlow implementation of SMGL (A Skinned Multi-Garment Linear Model)
User: opendeeple
smpl,OpenXRLab Multi-view Motion Capture Toolbox and Benchmark
Organization: openxrlab
Home Page: https://xrmocap.readthedocs.io/
smpl,List of recent advances for human avatars, including generation, reconstruction, and editing, etc.
User: pansanity666
smpl,Real-Time Neural 3D Hand Pose Estimation from an Event Stream [ICCV 2021]
User: r00tman
Home Page: https://4dqv.mpi-inf.mpg.de/EventHands/
smpl,UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer
User: soon-yau
smpl,[CVPR 2021] Bilevel Online Adaptation for Human Mesh Reconstruction
User: syguan96
smpl,[T-PAMI 2022] Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation
User: syguan96
smpl,ExPose - EXpressive POse and Shape rEgression
User: vchoutas
smpl,Code and dataset of human retargeting approach to transfer motion and appearance between monocular videos. Check the examples from our dataset with several paired actors and motions!
Organization: verlab
smpl,Advanced 3D Body Pose Analysis
User: vladmandic
Home Page: https://vladmandic.github.io/human-pose/client/index.html
smpl,A PyTorch implementation of Minimal-IK to restore SMPL parameters from skeleton/keypoints + point cloud, with VPoser pose prior for better performance.
User: windingwind
smpl,[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
User: yuliangxiu
Home Page: https://icon.is.tue.mpg.de
smpl,有空就写点,没空就空着。
User: yunyang1994
smpl,From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation, RA-L IROS 2022
User: yzqin
Home Page: https://yzqin.github.io/dex-teleop-imitation/
smpl,Official implementation of ACCV 2020 paper "3D Human Motion Estimation via Motion Compression and Refinement" (Identical repo to https://github.com/KlabCMU/MEVA, will be kept in sync)
User: zhengyiluo
Home Page: https://zhengyiluo.github.io/projects/meva/
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