Kun Huang, Fang-Lue Zhang*, Neil A. Dodgson,

*Corresponding authors

Provide installation instructions for your project. Include any dependencies and commands needed to set up the project.

# Clone the repository
git clone https://github.com/huangkun101230/Cross360.git
cd Cross360

# Install dependencies
conda env create -f cross360_conda_env.yml
conda activate cross360

Please download our pretrained models, and save these models to "saved_models/models". To test on provided data in "./input_data"

python evaluate.py

The results will be saved at "./results/saved_models/"

Please note, we only provided 3 Matterport3D, 3 Stanford2D3D, and 3 SunCG examples in our folder for limited space.

For training our model, please modify the path in our dataset: For example, in datasets/dataset3D60.py, function gather_filepaths, change local="./input_data/" with your downloaded path

and run

python train.py

We mainly evaluate our method on M3D, S2D3D, 3D60 dataset and Structured3D dataset.

If you find this repository useful in your project, please cite the following work. :)

coming soon.

This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.

You are free to:

✅ Share — copy and redistribute the material in any medium or format

✅ Adapt — remix, transform, and build upon the material

Under the following terms:

🔗 Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made.

🚫 NonCommercial — You may not use the material for commercial purposes.

Note: For any commercial use or licensing inquiries, please contact the project maintainer.