3D mesh stylization driven by a text input in PyTorch

Overview

Text2Mesh [Project Page]

arXiv Pytorch crochet candle Text2Mesh is a method for text-driven stylization of a 3D mesh, as described in "Text2Mesh: Text-Driven Neural Stylization for Meshes" (forthcoming).

Getting Started

Installation

Note: The below installation will fail if run on something other than a CUDA GPU machine.

conda env create --file text2mesh.yml
conda activate text2mesh
System requirements [click to expand] ### System Requirements - Python 3.7 - CUDA 10.2 - GPU w/ minimum 8 GB ram

Run examples

Call the below shell scripts to generate example styles.

# cobblestone alien
./demo/run_alien_cobble.sh
# shoe made of cactus 
./demo/run_shoe.sh
# lamp made of brick
./demo/run_lamp.sh
# ...

The outputs will be saved to results/demo, with the stylized .obj files, colored and uncolored render views, and screenshots during training.

Outputs

alien alien geometry alien style

alien alien geometry alien style

candle candle geometry candle style

person ninja geometry ninja style

shoe shoe geometry shoe style

vase vase geometry vase style

lamp lamp geometry lamp style

horse horse geometry horse style

Citation

@article{text2mesh,
    author = {Michel, Oscar
              and Bar-On, Roi
              and Liu, Richard
              and Benaim, Sagie
              and Hanocka, Rana
              },
    title = {{Text2Mesh: Text-Driven Neural Stylization for Meshes}},
    journal = {TODO: ARXIV},
    year  = {2021}
}
Owner
Threedle (University of Chicago)
Threedle (University of Chicago)
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