3 citations · 4 across the 9 of their papers we have counts for
9 papers
AirSplat: Alignment and Rating for Robust Feed-Forward 3D Gaussian Splatting
Minh-Quan Viet Bui, Jaeho Moon, Munchurl Kim
While 3D Vision Foundation Models (3DVFMs) have demonstrated remarkable zero-shot capabilities in visual geometry estimation, their direct application to generalizable novel view s…
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…
EcoSplat: Efficiency-controllable Feed-forward 3D Gaussian Splatting from Multi-view Images
Jongmin Park, Minh-Quan Viet Bui, Juan Luis Gonzalez Bello +3
Feed-forward 3D Gaussian Splatting (3DGS) enables efficient one-pass scene reconstruction, providing 3D representations for novel view synthesis without per-scene optimization. How…
ABBSPO: Adaptive Bounding Box Scaling and Symmetric Prior based Orientation Prediction for Detecting Aerial Image Objects
Woojin Lee, Hyugjae Chang, Jaeho Moon +2
Weakly supervised oriented object detection (WS-OOD) has gained attention as a cost-effective alternative to fully supervised methods, providing both efficiency and high accuracy.…
MoBGS: Motion Deblurring Dynamic 3D Gaussian Splatting for Blurry Monocular Video
Minh-Quan Viet Bui, Jongmin Park, Juan Luis Gonzalez Bello +3
We present MoBGS, a novel motion deblurring 3D Gaussian Splatting (3DGS) framework capable of reconstructing sharp and high-quality novel spatio-temporal views from blurry monocula…
SplineGS: Robust Motion-Adaptive Spline for Real-Time Dynamic 3D Gaussians from Monocular Video
Jongmin Park, Minh-Quan Viet Bui, Juan Luis Gonzalez Bello +3
Synthesizing novel views from in-the-wild monocular videos is challenging due to scene dynamics and the lack of multi-view cues. To address this, we propose SplineGS, a COLMAP-free…
Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation
Jaeho Moon, Jeonghwan Yun, Jaehyun Kim +2
Oil spills pose severe environmental risks, making early detection crucial for effective response and mitigation. As Synthetic Aperture Radar (SAR) images operate under all-weather…
From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior
Jaeho Moon, Juan Luis Gonzalez Bello, Byeongjun Kwon +1
Self-supervised monocular depth estimation (DE) is an approach to learning depth without costly depth ground truths. However, it often struggles with moving objects that violate th…
Positional Information is All You Need: A Novel Pipeline for Self-Supervised SVDE from Videos
Juan Luis Gonzalez Bello, Jaeho Moon, Munchurl Kim
Recently, much attention has been drawn to learning the underlying 3D structures of a scene from monocular videos in a fully self-supervised fashion. One of the most challenging as…