5 citations · 15 across the 11 of their papers we have counts for
4 papers · 1 filter
Unifying Vision-Language Representation Space with Single-tower Transformer
Jiho Jang, Chaerin Kong, Donghyeon Jeon +2
Contrastive learning is a form of distance learning that aims to learn invariant features from two related representations. In this paper, we explore the bold hypothesis that an im…
Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation
Chaerin Kong, DongHyeon Jeon, Ohjoon Kwon +1
Fashion attribute editing is a task that aims to convert the semantic attributes of a given fashion image while preserving the irrelevant regions. Previous works typically employ c…
Towards Efficient Neural Scene Graphs by Learning Consistency Fields
Yeji Song, Chaerin Kong, Seoyoung Lee +2
Neural Radiance Fields (NeRF) achieves photo-realistic image rendering from novel views, and the Neural Scene Graphs (NSG) \cite{ost2021neural} extends it to dynamic scenes (video)…
Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis
Chaerin Kong, Nojun Kwak
The capacity to learn incrementally from an online stream of data is an envied trait of human learners, as deep neural networks typically suffer from catastrophic forgetting and st…