activity
20242026
collaborators

7 papers

cs.CV2026

WebSpline: Structure-Informed Splines for Real-Time 3D Gaussians from Monocular Videos

Jongmin Park, Jeonghwan Yun, Minh-Quan Viet Bui +1

Dynamic scene reconstruction from monocular videos remains highly challenging, as existing methods often struggle to balance global structural coherence and local fine-grained deta…

cs.CV2026

MotionGrounder: Grounded Multi-Object Motion Transfer via Diffusion Transformer

Samuel Teodoro, Yun Chen, Agus Gunawan +3

Motion transfer enables controllable video generation by transferring temporal dynamics from a reference video to synthesize a new video conditioned on a target caption. However, e…

cs.CV2026

AA-Splat: Anti-Aliased Feed-forward Gaussian Splatting

Taewoo Suh, Sungpyo Kim, Jongmin Park +1

Feed-forward 3D Gaussian Splatting (FF-3DGS) emerges as a fast and robust solution for sparse-view 3D reconstruction and novel view synthesis (NVS). However, existing FF-3DGS metho…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…