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NeRRF: 3D Reconstruction and View Synthesis for Transparent and Specular Objects with Neural Refractive-Reflective Fields

Python 72.75% Shell 0.91% C++ 7.95% Cuda 15.35% C 3.04%

nerrf's Introduction

NeRRF


NeRRF: 3D Reconstruction and View Synthesis for Transparent and Specular Objects with Neural Refractive-Reflective Fields

Setup

conda env create -f environment.yml
conda activate nerrf

Dataset

Our blender synthetic dataset can be found here: blender_dataset

Usage

  1. In the NeRRF directory, ensure you have the following data:

    NeRRF
    |-- data
        |-- blender
            |-- depth
            |-- meta
            |-- specular
            |-- transparent
    
  2. Run the training script

    # reconstruct the specular horse of the blender dataset
    sh scripts/train_horse_s.sh
    

    The scripts can be switched from the geometry reconstruction stage to the radiance estimating stage by changing the value of the stage variable. Set stage to 1 for geometry reconstruction.

  3. Run the evaluation script

    # evaluate the specular horse of the blender dataset
    sh scripts/train_horse_s.sh
    

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