activity
20232026
most citedDifferentiable Point-based Inverse Rendering

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.GR2026

Snapshot Polarimetric Display Inverse Rendering

Seokjun Choi, Yunseong Moon, Kaizhang Kang +4

Inverse rendering remains a core challenge in graphics and vision, especially in the snapshot configurations required for lightweight desktop workflows, where the per-frame informa…

cs.GR2025

A Real-world Display Inverse Rendering Dataset

Seokjun Choi, Hoon-Gyu Chung, Yujin Jeon +2

Inverse rendering aims to reconstruct geometry and reflectance from captured images. Display-camera imaging systems offer unique advantages for this task: each pixel can easily fun…

cs.CV2025

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…

cs.CV2024

Dual Exposure Stereo for Extended Dynamic Range 3D Imaging

Juhyung Choi, Jinnyeong Kim, Seokjun Choi +5

Achieving robust stereo 3D imaging under diverse illumination conditions is an important however challenging task, due to the limited dynamic ranges (DRs) of cameras, which are sig…

cs.CV2024

Differentiable Inverse Rendering with Interpretable Basis BRDFs

Hoon-Gyu Chung, Seokjun Choi, Seung-Hwan Baek

Inverse rendering seeks to reconstruct both geometry and spatially varying BRDFs (SVBRDFs) from captured images. To address the inherent ill-posedness of inverse rendering, basis B…

cs.CV2023★ 1 cited

Differentiable Point-based Inverse Rendering

Hoon-Gyu Chung, Seokjun Choi, Seung-Hwan Baek

We present differentiable point-based inverse rendering, DPIR, an analysis-by-synthesis method that processes images captured under diverse illuminations to estimate shape and spat…

eess.IV2023

Dispersed Structured Light for Hyperspectral 3D Imaging

Suhyun Shin, Seokjun Choi, Felix Heide +1

Hyperspectral 3D imaging aims to acquire both depth and spectral information of a scene. However, existing methods are either prohibitively expensive and bulky or compromise on spe…