collaborators

8 papers

cs.GR2026

SceneFrom3D: Geometry-Conditioned Outdoor 3D Scene Generation via View Scheduling with Object-Level Control

Geonung Kim, Jeongeun Park, Nuri Ryu +2

Geometry-conditioned 3D scene generation enables the creation of 3D environments from user-provided geometry, offering direct control over scene structure and object layout. To gen…

cs.CV2026

SierpinskiCam: Camera-Controlled Video Retaking with Sierpinski Triangle Pattern Cues

Suttisak Wizadwongsa, Hyelin Nam, Supasorn Suwajanakorn +1

Generating novel renderings of a scene along user-defined camera trajectories from a single monocular video, dubbed video retaking, is a compelling but difficult problem in content…

cs.CV2026

Prospective Dynamic 3D MRI Reconstruction via Latent-Space Motion Tracking from Single Measurement

Lixuan Chen, Zhongnan Liu, Jesse Hamilton +3

Prospective reconstruction is crucial in many clinical applications such as MRI-guided radiotherapy, which demands accurate image reconstruction and fast motion estimation from cur…

cs.CV2026

HL-OutPaint: Coarse-to-Fine Video Outpainting for High-Resolution Long-Range Videos

Jeongeun Park, Janghyeok Han, Geonung Kim +4

Video outpainting generates plausible visual content beyond the original spatial extent of a video, playing a key role in adapting videos to diverse display formats. To support suc…

cs.CV2026

MoE3D: A Mixture-of-Experts Module for 3D Reconstruction

Zichen Wang, Ang Cao, Liam J. Wang +1

We propose a simple yet effective approach to enhance the performance of feed-forward 3D reconstruction models. Existing methods often struggle near depth discontinuities, where st…

cs.CV2025

Generative Spatiotemporal Data Augmentation

Jinfan Zhou, Lixin Luo, Sungmin Eum +2

We explore spatiotemporal data augmentation using video foundation models to diversify both camera viewpoints and scene dynamics. Unlike existing approaches based on simple geometr…