Towards Implicit Text-Guided 3D Shape Generation (CVPR2022)

Overview

Towards Implicit Text-Guided 3D Shape Generation

Towards Implicit Text-Guided 3D Shape Generation (CVPR2022)

Code for the paper [Towards Implicit Text-Guided 3D Shape Generation], CVPR 2022.

This code is based on IM-Net https://github.com/czq142857/IM-NET-pytorch

Authors: Zhengzhe Liu, Yi Wang, Xiaojuan Qi, Chi-Wing Fu

Installation

Requirements

  • Python 3.8.8
  • Pytorch 1.10.0
  • CUDA 11.3
  • h5py
  • scipy
  • mcubes
  • pytorch_lamb

Data Preparation

OR

  • Download the dataset.

  • unzip it to "generator" folder.

python 2_gather_256vox_16_32_64.py.py 

Pretrained Model

We provide pretrained models for each training step. Still download it here. Put them to "generation/checkpoint/color_all_ae_64/"

Inference

(1) Text-Guided Shape Generation

python main.py --res64 --sample_dir samples/im_ae_out --start 0 --end 7454 --high_resolution

You can generate coarse shapes fast by removing "--high_resolution"

(2) Diversified Generation

python main.py --div --sample_dir samples/im_ae_out --start 0 --end 7454 --high_resolution

Others:

(1) Auto-Encoder

python main.py --ae --sample_dir samples/im_ae_out --start 0 --end 7454

Training Generation Model

sh train.sh

Manipulation

Coming soon.

Contact

If you have any questions or suggestions about this repo, please feel free to contact me ([email protected]).

Issues
  • Missing of o2o.model32-199.pth pretrained model

    Missing of o2o.model32-199.pth pretrained model

    Hi, it seems that the provided link for downloading the pre-trained models does not include the model "o2o.model32-199.pth" used by the res64 training phase.

    Is it possible to get access to this pre-trained model? Thanks.

    opened by hopeisme 0
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