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

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

Related tags

Overview

SMPL2

Examples

Copyrights

Owner

JinTian

Video-Music Transformer

Fiddle is a Python-first configuration library particularly well suited to ML applications.

Code accompanying the paper Shared Independent Component Analysis for Multi-subject Neuroimaging

TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper submitted to KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning for Customer Acquisition.

Object detection on multiple datasets with an automatically learned unified label space.

Source code for the BMVC-2021 paper "SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation".

Lane assist for ETS2, built with the ultra-fast-lane-detection model.

A collection of semantic image segmentation models implemented in TensorFlow

MakeItTalk: Speaker-Aware Talking-Head Animation

Semantic Edge Detection with Diverse Deep Supervision

Code release of paper Improving neural implicit surfaces geometry with patch warping

Material del curso IIC2233 Programación Avanzada 📚

68 keypoint annotations for COFW test data

Ranger deep learning optimizer rewrite to use newest components

Voice of Pajlada with model and weights.

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

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