5 papers
Extend3D: Town-Scale 3D Generation
Seungwoo Yoon, Jinmo Kim, Jaesik Park
In this paper, we propose Extend3D, a training-free pipeline for 3D scene generation from a single image, built upon an object-centric 3D generative model. To overcome the limitati…
Learned split-spectrum metalens for obstruction-free broadband imaging in the visible
Seungwoo Yoon, Dohyun Kang, Eunsue Choi +9
Obstructions such as raindrops, fences, or dust degrade captured images, especially when mechanical cleaning is infeasible. Conventional solutions to obstructions rely on a bulky c…
Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models
Hyunsik Chae, Seungwoo Yoon, Jaden Park +5
Recent Vision-Language Models (VLMs) have demonstrated impressive multimodal comprehension and reasoning capabilities, yet they often struggle with trivially simple visual tasks. I…
Differentiable Mobile Display Photometric Stereo
Gawoon Ban, Hyeongjun Kim, Seokjun Choi +2
Display photometric stereo uses a display as a programmable light source to illuminate a scene with diverse illumination conditions. Recently, differentiable display photometric st…
Dense Dispersed Structured Light for Hyperspectral 3D Imaging of Dynamic Scenes
Suhyun Shin, Seungwoo Yoon, Ryota Maeda +1
Hyperspectral 3D imaging captures both depth maps and hyperspectral images, enabling comprehensive geometric and material analysis. Recent methods achieve high spectral and depth a…