Accelerated SMPL operation, commonly used in generate 3D human mesh, STAR included.

Last update: Oct 17, 2022

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Overview

SMPL2

An enchanced and accelerated SMPL operation which commonly used in 3D human mesh generation. It takes a poses, shapes, cam_trans as inputs, outputs a high-dimensional 3D mesh verts.

This packages provides:

Highly optimized pytorch acceleration with FP16 infer enabled;
Supported ONNX export and infer via ort, so that it might able used into TensorRT or OpenVINO on cpu;
Support STAR, next generation of SMPL.
Provide commonly used geoemtry built-in support without torchgeometry or kornia.

STAR model download from: https://star.is.tue.mpg.de/downloads

Examples

Some pipelines build with SMPL2 support.

Copyrights

Owner

JinTian

You know who I am.

GitHub Repository

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Accelerated SMPL operation, commonly used in generate 3D human mesh, STAR included.

Related tags

Overview

SMPL2

Examples

Copyrights

Owner

JinTian

The official code for paper "R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling".

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

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Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Patch2Pix: Epipolar-Guided Pixel-Level Correspondences [CVPR2021]

An implementation of quantum convolutional neural network with MindQuantum. Huawei, classifying MNIST dataset

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Dilated Convolution for Semantic Image Segmentation

This is the code for the paper "Motion-Focused Contrastive Learning of Video Representations" (ICCV'21).

EXplainable Artificial Intelligence (XAI)

This repository contains a pytorch implementation of "StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision".

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