Official implementation for the paper "SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization".

Related tags

Deep Learning SAPE
Overview

SAPE

Project page     Paper

Official implementation for the paper "SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization".

Environment

Create an anaconda environment and install Pytorch. Install other dependencies:

conda env update --file environment.yml

Tasks

Running examples:

python tasks_func_1d.py
python tasks_image_2d.py 
   
    
python tasks_silhouette_2d.py 
    
     
python tasks_occupancy_3d.py

See ./assets directory for possible input files.

Models and other outputs (images, optimization animation, etc.) will be saved under ./assets/checkpoints/ /

Citation

If you find this code useful for your research, please cite our paper.

@inproceedings{hertz2021sape,
  title={SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization},
  author={Hertz, Amir and Perel, Or and Giryes, Raja and Sorkine-Hornung, Olga and Cohen-Or, Daniel},
  booktitle={Thirty-Fifth Conference on Neural Information Processing Systems},
  year={2021}
}
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Comments
  • What does each parameter of ControlParams mean?

    What does each parameter of ControlParams mean?

    Hi amirhertz,

    Thanks for your code and paper! The idea behind SAPE is quite exciting and appealing. I've been playing around with the code.

    I wonder what each parameter of ControlParams means.

    self.res = 64  # resolution of spatial mask
self.num_iterations: int = 1000  # number of total iterations for optimization
self.num_blocks: Optional[int] = None. # I don't know
self.block_iterations = 256   # I don't know
self.epsilon = 1e-3   # loss threshold to stop updating alpha(t)
self.mask_dim = None  # same as input encoding?

    The above is my current understanding. Correct me if there is anything wrong. Particularly, I don't know what num_blocks and block_iterations mean and when I should use them.

    opened by Jiawei-Yang 0
  • 2D/3D original resolution?

    2D/3D original resolution?

    Hi,

    I wonder is there any possibility that I can run SAPE to train an image with its own resolution? I can see the default is res=128 in the code but we do need a higher resolution.

    Best, Xindong

    opened by xindonglin99 2
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