In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks

26 Nov 2017Pramuditha PereraMahdi AbavisaniVishal M. Patel

In unsupervised image-to-image translation, the goal is to learn the mapping between an input image and an output image using a set of unpaired training images. In this paper, we propose an extension of the unsupervised image-to-image translation problem to multiple input setting... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Multimodal Unsupervised Image-To-Image Translation EPFL NIR-VIS In2I PSNR 23.11 # 1
Unsupervised Image-To-Image Translation Freiburg Forest Dataset In2I PSNR 21.65 # 1

Methods used in the Paper


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