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Deformable-Sketch(Edge)-Detection-Network

Sketch detection network with deformable convolution.
When the input image is given, then model outs it's sketch(edge) version.
I use my custom sketch(edge) dataset instead general benchmark datasets.

Test Envrionment

  • NVIDIA A5000 24G
  • Train 512 x 512 image
  • Modeol params: 6.2M

Results

Aru(BlueArchive)

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Shiroko(BlueArchive)

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3a5738b6b2f689bf0370b2decb495227b81e277b 3a5738b6b2f689bf0370b2decb495227b81e277b png
3ade832bf5ed9561c681adf1b039659a2ecf13be 3ade832bf5ed9561c681adf1b039659a2ecf13be png

Wakamo(BlueArchive)

0a3294741a8b98330f520a3e0f44b1ae7fb1993a 0a3294741a8b98330f520a3e0f44b1ae7fb1993a png
0f5722138b086e6f28e3a354087d0e0692ea3a03 0f5722138b086e6f28e3a354087d0e0692ea3a03 png
d84a452d25ac20b9cccdac007cc5f12ea349ba85 d84a452d25ac20b9cccdac007cc5f12ea349ba85 png

Surtr(Arknights)

6b7bb28262eebebffeb3941db1258c0f5366a7b3 6b7bb28262eebebffeb3941db1258c0f5366a7b3 png
5a165acbcb8ef52378282b515b24e9c277740ebf 5a165acbcb8ef52378282b515b24e9c277740ebf png
fcede69367108db9f91019b5ff0f8792656d2bc7 fcede69367108db9f91019b5ff0f8792656d2bc7 png

Amiya(Arknights)

c08049bd745098b0869968caf059811fff9eb567 c08049bd745098b0869968caf059811fff9eb567 png
fbd362241e3e84b52ccd40f70d627fcc9b5dbdd1 fbd362241e3e84b52ccd40f70d627fcc9b5dbdd1 png
ffdc6bef27d1243e6aef64116429421a22591219 ffdc6bef27d1243e6aef64116429421a22591219 png

Theresa(Arknights)

ad6114c4155a7cd5ea4dca11554b787e325e1801 ad6114c4155a7cd5ea4dca11554b787e325e1801 png
c8cca7fcb8cc00f8c799f361b9d4c9832e4d0801 c8cca7fcb8cc00f8c799f361b9d4c9832e4d0801 png
f187bff62fd3eb24bb1e0a6a0ecd813451978e5a f187bff62fd3eb24bb1e0a6a0ecd813451978e5a png

Benchmark(BSDS500)

BSDS500

BIPEDv2

Multicue

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Sketch detection network with deformable convolution

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