hzwer/iccv2019-learningtopaint 🖼️❓ → 🖼️

▶️ 2.1K runs 📅 Aug 2021 ⚙️ Cog 0.4.4 🔗 GitHub 📄 Paper ⚖️ License
image-style-transfer image-to-image image-to-video painterly-rendering stroke-based-rendering

About

Teach Machines to Paint

Example Output

Output

[object Object]

Performance Metrics

210.72s Total Time
All Input Parameters
{
  "image": "https://replicate.delivery/mgxm/175a4668-2151-40e5-8499-e6e84af10542/lisa.png",
  "renderer": "triangle"
}
Input Parameters
image (required) Type: string
input image
renderer Default: default
type of renderer
Output Schema

Output

Type: stringFormat: uri

Example Execution Logs
canvas step 0, L2Loss = 0.03997287154197693
canvas step 1, L2Loss = 0.022229744121432304
canvas step 2, L2Loss = 0.01675523817539215
canvas step 3, L2Loss = 0.013573813252151012
canvas step 4, L2Loss = 0.012320900335907936
canvas step 5, L2Loss = 0.011542919091880322
canvas step 6, L2Loss = 0.010394248180091381
canvas step 7, L2Loss = 0.00984362605959177
canvas step 8, L2Loss = 0.009365100413560867
canvas step 9, L2Loss = 0.008832967840135098
canvas step 10, L2Loss = 0.008636057376861572
canvas step 11, L2Loss = 0.008324887603521347
canvas step 12, L2Loss = 0.007920647971332073
canvas step 13, L2Loss = 0.007482276763767004
canvas step 14, L2Loss = 0.00717482715845108
canvas step 15, L2Loss = 0.007089617662131786
canvas step 16, L2Loss = 0.006491135340183973
canvas step 17, L2Loss = 0.006249904166907072
canvas step 18, L2Loss = 0.006046295166015625
canvas step 19, L2Loss = 0.005860033445060253
canvas step 20, L2Loss = 0.005872267764061689
canvas step 21, L2Loss = 0.00566840311512351
canvas step 22, L2Loss = 0.005612283945083618
canvas step 23, L2Loss = 0.005540042649954557
canvas step 24, L2Loss = 0.005471577402204275
canvas step 25, L2Loss = 0.005446691066026688
canvas step 26, L2Loss = 0.005451116245239973
canvas step 27, L2Loss = 0.00531425978988409
canvas step 28, L2Loss = 0.005194230005145073
canvas step 29, L2Loss = 0.005153748206794262
canvas step 30, L2Loss = 0.0051300255581736565
canvas step 31, L2Loss = 0.005130386911332607
canvas step 32, L2Loss = 0.005068782716989517
canvas step 33, L2Loss = 0.004991540685296059
canvas step 34, L2Loss = 0.0049132308922708035
canvas step 35, L2Loss = 0.004845760762691498
canvas step 36, L2Loss = 0.004773181863129139
canvas step 37, L2Loss = 0.004727147053927183
canvas step 38, L2Loss = 0.004669420421123505
canvas step 39, L2Loss = 0.004620404914021492
divided canvas step 0, L2Loss = 0.003307740669697523
divided canvas step 1, L2Loss = 0.003022675635293126
divided canvas step 2, L2Loss = 0.002739946125075221
divided canvas step 3, L2Loss = 0.0025829109363257885
divided canvas step 4, L2Loss = 0.0024592261761426926
divided canvas step 5, L2Loss = 0.0022820893209427595
divided canvas step 6, L2Loss = 0.0021267924457788467
divided canvas step 7, L2Loss = 0.002044535940513015
divided canvas step 8, L2Loss = 0.0019409225787967443
divided canvas step 9, L2Loss = 0.0018689618445932865
divided canvas step 10, L2Loss = 0.0018029434140771627
divided canvas step 11, L2Loss = 0.0017460198141634464
divided canvas step 12, L2Loss = 0.001700163003988564
divided canvas step 13, L2Loss = 0.001670832629315555
divided canvas step 14, L2Loss = 0.001637538312934339
divided canvas step 15, L2Loss = 0.0016061669448390603
divided canvas step 16, L2Loss = 0.0015731289749965072
divided canvas step 17, L2Loss = 0.0015442294534295797
divided canvas step 18, L2Loss = 0.0015228502452373505
divided canvas step 19, L2Loss = 0.001496538519859314
divided canvas step 20, L2Loss = 0.0014746275264769793
divided canvas step 21, L2Loss = 0.001459478517062962
divided canvas step 22, L2Loss = 0.001444359077140689
divided canvas step 23, L2Loss = 0.0014375821920111775
divided canvas step 24, L2Loss = 0.0014250167878344655
divided canvas step 25, L2Loss = 0.0014068989548832178
divided canvas step 26, L2Loss = 0.0013894503936171532
divided canvas step 27, L2Loss = 0.0013786253985017538
divided canvas step 28, L2Loss = 0.001360491500236094
divided canvas step 29, L2Loss = 0.001350260223262012
divided canvas step 30, L2Loss = 0.0013426643563434482
divided canvas step 31, L2Loss = 0.0013279904378578067
divided canvas step 32, L2Loss = 0.0013150947634130716
divided canvas step 33, L2Loss = 0.0013005108339712024
divided canvas step 34, L2Loss = 0.0012901554582640529
divided canvas step 35, L2Loss = 0.0012693328317254782
divided canvas step 36, L2Loss = 0.0012676238548010588
divided canvas step 37, L2Loss = 0.0012575527653098106
divided canvas step 38, L2Loss = 0.0012474938994273543
divided canvas step 39, L2Loss = 0.0012422115541994572
generating gif
Version Details
Version ID
1da220059cf4eb1de6cdbca18378f1c34ae0fdfec8d18aa5570dd224b0d18284
Version Created
October 5, 2022
Run on Replicate →