6 papers · 1 filter
Data-driven Precipitation Nowcasting Using Satellite Imagery
Young-Jae Park, Doyi Kim, Minseok Seo +2
Accurate precipitation forecasting is crucial for early warnings of disasters, such as floods and landslides. Traditional forecasts rely on ground-based radar systems, which are sp…
Fully Explicit Dynamic Gaussian Splatting
Junoh Lee, Chang-Yeon Won, Hyunjun Jung +2
3D Gaussian Splatting has shown fast and high-quality rendering results in static scenes by leveraging dense 3D prior and explicit representations. Unfortunately, the benefits of t…
Kinetic Typography Diffusion Model
Seonmi Park, Inhwan Bae, Seunghyun Shin +1
This paper introduces a method for realistic kinetic typography that generates user-preferred animatable 'text content'. We draw on recent advances in guided video diffusion models…
SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
Inhwan Bae, Young-Jae Park, Hae-Gon Jeon
There are five types of trajectory prediction tasks: deterministic, stochastic, domain adaptation, momentary observation, and few-shot. These associated tasks are defined by variou…
Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction
Inhwan Bae, Junoh Lee, Hae-Gon Jeon
Language models have demonstrated impressive ability in context understanding and generative performance. Inspired by the recent success of language foundation models, in this pape…
Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data
Young-Jae Park, Minseok Seo, Doyi Kim +7
In the face of escalating climate changes, typhoon intensities and their ensuing damage have surged. Accurate trajectory prediction is crucial for effective damage control. Traditi…