/boundary_sensitivity

Code for the ICLR 2023 paper Neural Implicit Shape Editing using Boundary Sensitivity.

Primary LanguageJavaScript

Neural Implicit Shape Editing using Boundary Sensitivity

Arturs Berzins, Moritz Ibing, Leif Kobbelt

GUI Demo for Semantic Editing

The GUI is based on the DualSDF demo. The method works with different models, given a proper interface to the model to evaluate it.

Three pretrained models are available under interfaces/DualSDF/pretrained/ based on the DualSDF generator: airplanes, cars, and chairs.

# Host the chair demo on the default port 1234
python demo.py interfaces/DualSDF --interface_args \
"./config/dualsdf_chairs_demo.yaml --pretrained ./pretrained/dualsdf_chairs_demo/epoch_2799.pth"

Then visit localhost:1234. Type python demo.py --help to see and adjust the launch arguments.

demo.mp4

TODO

  • Add pre-trained IM-Net.
  • Details on how to add your own model.
  • Host the large pretrained model files not on GitHub

Licence

MIT License