Youtube 的 Demo： https://www.youtube.com/watch?v=wxoOcO-9NWU
代码在 https://github.com/Texaser/MTN
欢迎大家关注！ Star ！感谢各位大佬！
输入一个文本，大概训练 1 个小时，就可以产生对应的 3D model 了。
相比之前的算法，由于我们采用 progressive 的形式，在形态上的鲁棒性更强，收敛速度也快一些。
MTN (Multi-Scale Triplane Network)
This repository contains the official implementation of Progressive Text-to-3D Generation for Automatic 3D Prototyping ( https://arxiv.org/abs/2309.14600).
Paper
Video results
https://github.com/Texaser/MTN/assets/50570271/bdc776a6-ee2d-43ff-9ee3-21784799d3cb
https://github.com/Texaser/MTN/assets/50570271/197fa808-154b-4671-8446-8350b1e166d6
For more videos, please refer to https://www.youtube.com/watch?v=LH6-wKg30FQ
Instructions:
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pip install -r requirements.txt
To use DeepFloyd-IF, you need to accept the usage conditions from hugging face, and login with huggingface-cli login in command line.
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# choose stable-diffusion version
python main.py --text "a hamburger" --workspace trial -O --sd_version 2.1
# use DeepFloyd-IF for guidance:
python main.py --text "a hamburger" --workspace trial -O --IF
python main.py --text "a hamburger" --workspace trial -O --IF --vram_O # requires ~24G GPU memory
python main.py -O --text "a tiger cub" --workspace trial_perpneg_if_tiger --iters 6000 --IF --batch_size 1 --perpneg
python main.py -O --text "a shiba dog wearing sunglasses" --workspace trial_perpneg_if_shiba --iters 6000 --IF --batch_size 1 --perpneg
python main.py -O --text "a octopus toy" --workspace trial_perpneg_if_octopus --iters 6000 --IF --batch_size 1 --perpneg
# larger absolute value of negative_w is used for the following command because the defult negative weight of -2 is not enough to make the diffusion model to produce the views as desired
python main.py -O --text "a shiba dog wearing sunglasses" --workspace trial_perpneg_if_shiba --iters 6000 --IF --batch_size 1 --perpneg --negative_w -3.0
# after the training is finished:
# test (exporting 360 degree video)
python main.py --workspace trial -O --test
# also save a mesh (with obj, mtl, and png texture)
python main.py --workspace trial -O --test --save_mesh
# test with a GUI (free view control!)
python main.py --workspace trial -O --test --gui
Tested environments
Citation
If you find this work useful, a citation will be appreciated via:
@article{yi2023progressive,
title={Progressive Text-to-3D Generation for Automatic 3D Prototyping},
author={Yi, Han and Zheng, Zhedong and Xu, Xiangyu and Chua, Tat-seng},
journal={arXiv preprint arXiv:2309.14600},
year={2023}
}
Acknowledgement
This code base is built upon the following awesome open-source projects:
Stable DreamFusion,
threestudio
Thanks the authors for their remarkable job !
