4 citations · 9 across the 7 of their papers we have counts for
5 papers · 1 filter
Learning Primitive Relations for Compositional Zero-Shot Learning
Insu Lee, Jiseob Kim, Kyuhong Shim +1
Compositional Zero-Shot Learning (CZSL) aims to identify unseen state-object compositions by leveraging knowledge learned from seen compositions. Existing approaches often independ…
Variational Distribution Learning for Unsupervised Text-to-Image Generation
Minsoo Kang, Doyup Lee, Jiseob Kim +2
We propose a text-to-image generation algorithm based on deep neural networks when text captions for images are unavailable during training. In this work, instead of simply generat…
Vision Transformer-based Feature Extraction for Generalized Zero-Shot Learning
Jiseob Kim, Kyuhong Shim, Junhan Kim +1
Generalized zero-shot learning (GZSL) is a technique to train a deep learning model to identify unseen classes using the image attribute. In this paper, we put forth a new GZSL app…
FLAME: Free-form Language-based Motion Synthesis & Editing
Jihoon Kim, Jiseob Kim, Sungjoon Choi
Text-based motion generation models are drawing a surge of interest for their potential for automating the motion-making process in the game, animation, or robot industries. In thi…
Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness
Jiseob Kim, Jihoon Lee, Byoung-Tak Zhang
Face-swapping models have been drawing attention for their compelling generation quality, but their complex architectures and loss functions often require careful tuning for succes…