activity
20192025
most citedFLAME: Free-form Language-based Motion Synthesis & Editing

4 citations · 9 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2022★ 4 cited

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…

cs.CV2021★ 3 cited

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…

cs.LG2019★ 1 cited

Encoder-Powered Generative Adversarial Networks

Jiseob Kim, Seungjae Jung, Hyundo Lee +1

We present an encoder-powered generative adversarial network (EncGAN) that is able to learn both the multi-manifold structure and the abstract features of data. Unlike the conventi…

cs.LG2019★ 1 cited

Data Interpolations in Deep Generative Models under Non-Simply-Connected Manifold Topology

Jiseob Kim, Byoung-Tak Zhang

Exploiting the deep generative model's remarkable ability of learning the data-manifold structure, some recent researches proposed a geometric data interpolation method based on th…