SMPL
SMPL Model
An implementation of the SMPL model using Numpy, TensorFlow and PyTorch.
NumPy, TensorFlow and PyTorch implementation of human body SMPL model and infant body SMIL model.
884 stars
27 watching
137 forks
Language: Python
last commit: over 2 years ago
Linked from 1 awesome list
bodygraphicsgraphics-3dposesmpl
wangzheallen/awesome-human-pose-estimationRelated projects:
| Repository | Description | Stars |
|---|---|---|
 umass-foundation-model/3d-llm | Developing a Large Language Model capable of processing 3D representations as inputs | 961 |
 hongwenzhang/pymaf | Reconstructs human 3D models from monocular images using a feedback loop to improve pose and shape estimation | 596 |
| hongwenzhang/danet-densepose2smpl | This repository provides software tools and pre-trained models for estimating 3D human shape and pose from dense body parts | 233 |
 lonepatient/nezha_chinese_pytorch | An implementation of a Chinese language model using PyTorch and transformer architecture. | 262 |
 caizhongang/smpler-x | An implementation of an expressive human pose and shape estimation system using deep learning techniques | 1,006 |
 shekkizh/fcn.tensorflow | An implementation of a deep learning model for image segmentation using TensorFlow | 1,252 |
 szagoruyko/functional-zoo | Repository providing pre-trained models and model definitions for PyTorch and TensorFlow using a functional programming style | 586 |
 yfzhang114/slime | Develops large multimodal models for high-resolution understanding and analysis of text, images, and other data types. | 137 |
 pylons/deform | A Python HTML form library providing support for complex data entry forms and integration with various web frameworks. | 417 |
| hongwenzhang/pymaf-x | An open-source software project that enables the recovery of full-body 3D human models from monocular images. | 224 |
 toni-sm/skrl | A modular reinforcement learning library with support for various environments and frameworks | 560 |
 scicloj/scicloj.ml.clj-djl | Provides pre-trained machine learning models for natural language processing tasks using Clojure and the clj-djl framework. | 0 |
 botkop/numsca | Numpy for Scala, implementing key features of Numpy in the Scala language | 185 |
 kazuto1011/pspnet-pytorch | Re-implementation of a deep learning model for semantic segmentation using PyTorch. | 52 |
 laurentmazare/ocaml-bert | Implementing BERT-like NLP models in OCaml using PyTorch bindings and pre-trained weights from popular sources. | 23 |