IMAGEimate

IMAGEimate is an end-to-end pipeline to create realistic animatable 3D avatars from a single image using neural networks. This project is an end-to-end system built using two research works and relevant opensource contributions, so their license and terms follows for this project -

1. PIFuHD : Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization (CVPR 2020) - https://shunsukesaito.github.io/PIFuHD/
2. IPNet : Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction (ECCV 2020) - https://virtualhumans.mpi-inf.mpg.de/ipnet/
3. AIST++ : Dance Motion Dataset from National Institute of Advanced Industrial Science and Technology (AIST）- https://google.github.io/aistplusplus_dataset/index.html
   AMASS : Archive of Motion Capture as Surface Shapes (AMASS) from Max Planck Institute for Intelligent Systems(MPI) - https://amass.is.tue.mpg.de/
4. SMPL : Skinned Multi-person Linear Model from MPI, you need to register, accept the license terms and download models - https://smpl.is.tue.mpg.de/

This project was tested on

OS      : Ubuntu 20.04 LTS  
GPU     : Nvidia RTX2060M with driver 470
CUDA    : 10.1
Python  : 3.7
PyTorch : 1.8.1

Follow the instructions.txt to install dependencies and required libraries and download checkpoints
Follow the run_imageimate.sh for how to make modifications to the code and get relevant results

Results -

Input Image	PIFuHD Mesh	SMPLD Registration	Reposed Animation