cxiang26 / perturbed-seg

Code for NeurIPS 2019 paper Emergence of Object Segmentation in Perturbed Generative Models

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Emergence of Object Segmentation in Perturbed Generative Models

Code for NeurIPS 2019 paper Emergence of Object Segmentation in Perturbed Generative Models.

Architecture

Samples

Usage

Tested with PyTorch version 1.2.0.

Download LSUN object dataset.

Sample train command for the layered generative model:

python train.py --max_size 128 --location_jitter 0.125 --min_mask_coverage 0.25 --mask_alpha 2.0 --mixing -d lsun /path/to/lmdb/ --bg_contrast_jitter 0.3 --org_to_crop 1.125 --sched

Credits

StyleGAN implementation used in this repository is based on this PyTorch port by rosinality.

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Code for NeurIPS 2019 paper Emergence of Object Segmentation in Perturbed Generative Models


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