From d2cd39f1cb8bf63c3e649db2c98e35568e26e30b Mon Sep 17 00:00:00 2001 From: ryota natsume Date: Sun, 12 Apr 2020 13:37:40 +0900 Subject: [PATCH] Update README.md --- README.md | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index fa244318..1a056602 100755 --- a/README.md +++ b/README.md @@ -1,5 +1,7 @@ # PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization +[![report](https://img.shields.io/badge/arxiv-report-red)](https://arxiv.org/abs/1905.05172) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1GFSsqP2BWz4gtq0e-nki00ZHSirXwFyY) + News: * \[2020/02/26\] License is updated to MIT license! Enjoy! @@ -81,6 +83,11 @@ sh ./scripts/download_trained_model.sh sh ./scripts/test.sh ``` +## Demo on Google Colab +If you do not have a suitable environment to run this projects then you could give Google Colab a try. +It allows you to run the project in the cloud, free of charge. You may try our Colab demo using the notebook we prepare: +[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1GFSsqP2BWz4gtq0e-nki00ZHSirXwFyY) + ## Data Generation (Linux Only) While we are unable to release the full training data due to the restriction of commertial scans, we provide rendering code using free models in [RenderPeople](https://renderpeople.com/free-3d-people/). This tutorial uses `rp_dennis_posed_004` model. Please download the model from [this link](https://renderpeople.com/sample/free/rp_dennis_posed_004_OBJ.zip) and unzip the content under a folder named `rp_dennis_posed_004_OBJ`. The same process can be applied to other RenderPeople data. @@ -149,4 +156,4 @@ Implict surface learning for sparse view human performance capture! For commercial queries, please contact: -Hao Li: hao@hao-li.com ccto: saitos@usc.edu Baker!! \ No newline at end of file +Hao Li: hao@hao-li.com ccto: saitos@usc.edu Baker!!