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AdversarialTexture

Adversarial Texture Optimization from RGB-D Scans (CVPR 2020).

AdversarialTexture Teaser

Scanning Data Download

Please refer to data directory for details.

Before run following scripts, please modify the data_path in src/config.py as the absolute path of the data folder (e.g. Adversarial/data) where you download all data.

Prepare for Training (Optimization)

Please refer to src/preprocessing directory for details.

Run Training (Optimization)

Consider execute run_all.sh in parallel.

cd src/textureoptim
python gen_script.py
sh run_all.sh

Result Visualization

The result will be stored in data/result/chairID/chairID.png. You can use them to replace the corresponding default texture in data/shape, and use meshlab to open obj files to see the results.

Alternatively, we provide a simple script to render results.

cd src
python visualize.py