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This is (official) pytorch implementation of the paper "Reference based sketch extraction via attention mechanism"

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Reference based sketch extraction via attention mechanism

This is official implementation of the paper "Reference based sketch extraction via attention mechanism"

Amirsaman Ashtari*, Chang Wook Seo*, Cholmin Kang, Sihun Cha, Junyong Noh (*equally contributed and listed alphabetically)

PAPER

Journal: ACM TOG
Conference: SIGGRAPH ASIA 2022

Train

$ python main.py --mode train_deep \
                 --scope ref2sketch \
                 --name_data examples \
                 --dir_data ./datasets \
                 --dir_log ./log \
                 --dir_checkpoint ./checkpoint \
                 --direction a2b
                 --gpu_ids 0
  • For settings from original paper, use 'train' for --mode. However we recommend to use 'train_deep' for producing better quality of model with deeper convolution layers.
  • To understand hierarchy of dataset, see Dataset directories structure below.

Test

$ python test.py --name_weight [weight_file] \
                 --name_data examples \
                 --direction a2b \
                 --cuda

Dataset

  • Due to the regulation of twitter, we share each url of twitter dataset used in our paper. You can find twitter_dataset.json file from dataset folder.

Twitter regulation
https://developer.twitter.com/en/developer-terms/agreement-and-policy

Dataset directories structure

ref2sketch
+---[dir_data]
|   \---[name_data]
|       +---test
|       |   +---a
|       |       |   +---test_input1.png
|       |       |   +---test_input2.png
|       |   +---b
|       |       |   +---test_groundtruth1.png #not necessary for testing
|       |       |   +---test_groundtruth2.png #not necessary for testing
|       |   +---c
|       |       |   +---style1.png
|       |       |   +---style2.png
|       +---train
|       |   +---a
|       |       |   +---train_input1.png
|       |       |   +---train_input2.png
|       |   +---b
|       |       |   +---train_groundtruth1.png
|       |       |   +---train_groundtruth2.png

#Paired input and groundtruth should have same filename

Examples


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This is (official) pytorch implementation of the paper "Reference based sketch extraction via attention mechanism"

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