1 code implementation • CVPR 2022 • Kunhee Kim, Sanghun Park, Eunyeong Jeon, Taehun Kim, Daijin Kim
Current image-to-image translations do not control the output domain beyond the classes used during training, nor do they interpolate between different domains well, leading to implausible results.
Image Manipulation Multimodal Unsupervised Image-To-Image Translation +1
no code implementations • 25 Aug 2021 • Sanghun Park, Kunhee Kim, Eunseop Lee, Daijin Kim
Object detection has been applied in a wide variety of real world scenarios, so detection algorithms must provide confidence in the results to ensure that appropriate decisions can be made based on their results.
1 code implementation • 2 Sep 2020 • Sanghun Park, Kwanggyoon Seo, Junyong Noh
We propose Neural Crossbreed, a feed-forward neural network that can learn a semantic change of input images in a latent space to create the morphing effect.