3 citations · 4 across the 9 of their papers we have counts for
5 papers · 1 filter
GeoCR: Learning a Generalist Cloud Removal Prior from Heterogeneous Observations
Jeonghyeok Do, Munchurl Kim
Cloud removal methods are typically specialized to individual datasets and input configurations, limiting reuse across sensors, spectral bands, and observation settings. We introdu…
One for All: Generalist Foundation Model for Cross-Sensor Skeleton Representation Learning
Jeonghyeok Do, Yun Chen, Munchurl Kim
For learning generalizable motion representations from large-scale unlabeled data, Self-supervised learning (SSL) has become a widely adopted methodology. However, existing approac…
ReFlowSET: Representation-Aligned Latent Flow Matching for SAR-to-EO Image Translation
Jeonghyeok Do, Seungchul Lee, Munchurl Kim
SAR-to-EO image translation aims to generate electro-optical (EO) imagery from synthetic aperture radar (SAR) observations. Existing latent diffusion approaches typically inherit a…
GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation
Jeonghyeok Do, Munchurl Kim
Existing generative models for earth observation (EO) predominantly rely on fine-tuning natural image priors, which limits their scalability and introduces perspective biases that…
PropFly: Learning to Propagate via On-the-Fly Supervision from Pre-trained Video Diffusion Models
Wonyong Seo, Jaeho Moon, Jaehyup Lee +2
Propagation-based video editing enables precise user control by propagating a single edited frame into following frames while maintaining the original context such as motion and st…