activity
20232025
most citedMAIR: Multi-view Attention Inverse Rendering with 3D Spatially-Varying Lighting Estimation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

PLOT: Pseudo-Labeling via Object Tracking for Monocular 3D Object Detection

Seokyeong Lee, Sithu Aung, Junyong Choi +3

Monocular 3D object detection is crucial for scalable perception across fields like autonomous driving, robotics, and surveillance. However, progress is hindered by limited 3D anno…

cs.CV2025

Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes

JunYong Choi, Min-Cheol Sagong, SeokYeong Lee +3

We propose a diffusion-based inverse rendering framework that decomposes a single RGB image into geometry, material, and lighting. Inverse rendering is inherently ill-posed, making…

cs.CV2024

MAIR++: Improving Multi-view Attention Inverse Rendering with Implicit Lighting Representation

JunYong Choi, SeokYeong Lee, Haesol Park +3

In this paper, we propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, SVBRDF, and 3D spatially-varying lighting. Whi…

cs.CV2023★ 1 cited

MAIR: Multi-view Attention Inverse Rendering with 3D Spatially-Varying Lighting Estimation

JunYong Choi, SeokYeong Lee, Haesol Park +3

We propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, a SVBRDF, and 3D spatially-varying lighting. Because multi-vi…

cs.CV2023

Few-shot Neural Radiance Fields Under Unconstrained Illumination

SeokYeong Lee, JunYong Choi, Seungryong Kim +2

In this paper, we introduce a new challenge for synthesizing novel view images in practical environments with limited input multi-view images and varying lighting conditions. Neura…