Generative Adversarial Networks

Style Transfer Module

Introduced by Huang et al. in Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Style Transfer 11 31.43%
Domain Adaptation 4 11.43%
Semantic Segmentation 4 11.43%
Domain Generalization 3 8.57%
Unsupervised Domain Adaptation 3 8.57%
Autonomous Driving 2 5.71%
Disentanglement 1 2.86%
Quantization 1 2.86%
Test 1 2.86%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories