# mitsuba RealFaceDB Rendering

**Repository Path**: du-youyang/mitsuba-RealFaceDB-rendering

## Basic Information

- **Project Name**: mitsuba RealFaceDB Rendering
- **Description**: Using Mitsuba3 Render the patch-style texture given by RealFaceDB.
- **Primary Language**: Python
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-02-21
- **Last Updated**: 2023-03-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# RealFaceDB Rendering

## Introduction
Using Mitsuba3 Render the patch-style texture given by RealFaceDB. \
Using Pytorch to render RealFaceDB texture directly within texture-space. SSS is already supported.
> Notice that SSS is really high-overhead, and cannot get apparent result from it, since the diffuse normal is low-frequency. 



## Getting Start

Mitsuba implementation please refer to 

> mitsuba_implementation/AvatarMeDatasetRenderer.py

Pytorch_implementation please refer to

> pytorch_implementation/pytorch_RealFaceDB_render.py

Pytorch-version's work flow:

![D42663D502F5869F6BAF6E651A3E6348](README.assets\D42663D502F5869F6BAF6E651A3E6348.jpg)

## Data
The texture data used in this project come from RealFaceDB, presented by following paper:
> @InProceedings{lattas2020avatarme, \
    author = {Lattas, Alexandros and Moschoglou, Stylianos and Gecer, Baris and Ploumpis, Stylianos and Triantafyllou, Vasileios and Ghosh, Abhijeet and Zafeiriou, Stefanos}, \
    title = {AvatarMe: Realistically Renderable 3D Facial Reconstruction "In-the-Wild"}, \
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, \
    month = {June}, \
    year = {2020}
}
> 
> @article{lattas2021avatarme++,\
  title={AvatarMe++: Facial Shape and BRDF Inference with Photorealistic Rendering-Aware GANs},\
  author={Lattas, Alexandros and Moschoglou, Stylianos and Ploumpis, Stylianos and Gecer, Baris and Ghosh, Abhijeet and Zafeiriou, Stefanos P},\
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},\
  year={2021},\
  publisher={IEEE}\
}

or you may need to access this link : [AvatarMe++](https://github.com/lattas/avatarme)