Skip to content

Official implementation of CLIP-Mesh: Generating textured meshes from text using pretrained image-text models

License

Notifications You must be signed in to change notification settings

co1dspring/CLIP-Mesh

 
 

Repository files navigation

CLIP-Mesh

Official implementation of CLIP-Mesh: Generating textured meshes from text using pretrained image-text models

Nasir Mohammad Khalid, Tianhao Xie, Eugene Belilovsky, Tiberiu Popa
SIGGRAPH ASIA 2022 | arXiv | Project page

CLIP-Mesh header image

Quickstart

(Work in Progress!) - The following Google Collab notebooks are the best way to get started:

Text to Mesh Multi Mesh Generation
Stylizing a Mesh Apply CLIP-Mesh to Human Models

Setup

Clone this repository recursively to get all submodules - use submodule update to get downstream submodules

git clone --recurse-submodules https://github.com/NasirKhalid24/CLIP-Mesh.git
cd CLIP-Mesh
git submodule update --init --recursive

Setup Conda environment and install packages

conda create -n clip-mesh python=3.7
conda activate clip-mesh
conda install pytorch==1.11.0 torchvision==0.12.0 cudatoolkit=10.2 -c pytorch

pip install -r requirements.txt

Install loop subdivison code and DALLE-2 (not that DALLE-2 is from an earlier commit so existing install may not work)

<!-- Install Loop Subdivision -->
cd loop_limitation
pip install .
cd ..

<!-- Install DALLE2 - Diffusion Prior -->
cd DALLE2-pytorch
pip install .
cd ..

<!-- Get DALLE2 Prior Weights -->
mkdir weights
wget https://huggingface.co/spaces/NasirKhalid24/Dalle2-Diffusion-Prior/resolve/main/larger-model.pth -O ./weights/model.pth

Usage

This repo comes with some configs that are passed to main.py using the --config flag

Any of the config paramaters can be overriden by passing them to as arguments to the main.py file so you can have a base .yml file with all your parameters and just update the text prompt to generate something new

An example would be using the given config file for single mesh generation single.yml

# Use all parameters in file
python main.py --config configs/single.yml      

# Use all parameters in file but change text prompt
python main.py --config configs/single.yml  --text_prompt "a hamburger"    

# Use all parameters in file but change text prompt, batch, texture resolution
python main.py \
--config configs/single.yml \
--text_prompt "a hamburger" \
--batch_size 5 \
--texture_resolution 1024

Tips, Tricks, FAQs etc

I recommend checking out the following document as it could answer any doubts that come up (will be updated regularly) - if you still have questions reach out @Nymarius_ or open an issue

About

Official implementation of CLIP-Mesh: Generating textured meshes from text using pretrained image-text models

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%