most citedU-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

393 citations · 402 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021★ 3 cited

Feature Statistics Mixing Regularization for Generative Adversarial Networks

Junho Kim, Yunjey Choi, Youngjung Uh

In generative adversarial networks, improving discriminators is one of the key components for generation performance. As image classifiers are biased toward texture and debiasing i…

cs.CV2021★ 5 cited

SGoLAM: Simultaneous Goal Localization and Mapping for Multi-Object Goal Navigation

Junho Kim, Eun Sun Lee, Mingi Lee +2

We present SGoLAM, short for simultaneous goal localization and mapping, which is a simple and efficient algorithm for Multi-Object Goal navigation. Given an agent equipped with an…

cs.CV2021

PICCOLO: Point Cloud-Centric Omnidirectional Localization

Junho Kim, Changwoon Choi, Hojun Jang +1

We present PICCOLO, a simple and efficient algorithm for omnidirectional localization. Given a colored point cloud and a 360 panorama image of a scene, our objective is to recover…

cs.CV2021★ 1 cited

Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing

Hyunsu Kim, Yunjey Choi, Junho Kim +2

Generative adversarial networks (GANs) synthesize realistic images from random latent vectors. Although manipulating the latent vectors controls the synthesized outputs, editing re…

cs.CV2019★ 393 cited

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Junho Kim, Minjae Kim, Hyeonwoo Kang +1

We propose a novel method for unsupervised image-to-image translation, which incorporates a new attention module and a new learnable normalization function in an end-to-end manner.…