activity
20212024
most citedF-RDW: Redirected Walking with Forecasting Future Position

2 citations · 5 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2024

Semantic Guidance Tuning for Text-To-Image Diffusion Models

Hyun Kang, Dohae Lee, Myungjin Shin +1

Recent advancements in Text-to-Image (T2I) diffusion models have demonstrated impressive success in generating high-quality images with zero-shot generalization capabilities. Yet,…

cs.CV2023

Utilizing Task-Generic Motion Prior to Recover Full-Body Motion from Very Sparse Signals

Myungjin Shin, Dohae Lee, In-Kwon Lee

The most popular type of devices used to track a user's posture in a virtual reality experience consists of a head-mounted display and two controllers held in both hands. However,…

cs.HC2023★ 2 cited

F-RDW: Redirected Walking with Forecasting Future Position

Sang-Bin Jeon, Jaeho Jung, Jinhyung Park +1

In order to serve better VR experiences to users, existing predictive methods of Redirected Walking (RDW) exploit future information to reduce the number of reset occurrences. Howe…

cs.CV2023★ 1 cited

ClothCombo: Modeling Inter-Cloth Interaction for Draping Multi-Layered Clothes

Dohae Lee, Hyun Kang, In-Kwon Lee

We present ClothCombo, a pipeline to drape arbitrary combinations of clothes on 3D human models with varying body shapes and poses. While existing learning-based approaches for dra…

cs.GR2022

CIMS: Correction-Interpolation Method for Smoke Simulation

Yunjee Lee, Dohae Lee, Young Jin Oh +1

In this paper, we propose CIMS: a novel correction-interpolation method for smoke simulation. The basis of our method is to first generate a low frame rate smoke simulation, then i…

cs.HC2022★ 1 cited

Redirected Walking in Infinite Virtual Indoor Environment Using Change-blindness

June-Young Hwang, Soon-Uk Kwon, Yong-Hun Cho +2

We present a change-blindness based redirected walking algorithm that allows a user to explore on foot a virtual indoor environment consisting of an infinite number of rooms while…

cs.CV2022★ 1 cited

Flexible Networks for Learning Physical Dynamics of Deformable Objects

Jinhyung Park, DoHae Lee, In-Kwon Lee

Learning the physical dynamics of deformable objects with particle-based representation has been the objective of many computational models in machine learning. While several state…

cs.AI2021

Discovering Latent Representations of Relations for Interacting Systems

Dohae Lee, Young Jin Oh, In-Kwon Lee

Systems whose entities interact with each other are common. In many interacting systems, it is difficult to observe the relations between entities which is the key information for…