From the 1 of 10 linked papers with an AI index.
9 papers · 1 filter
Virtual Chromoendscopy with Tunable Visibility Enhancement
Yuhi Kanno, Yusuke Monno, Sho Suzuki +2
The paper introduces a virtual enhanced chromoendoscopy (V‑ECE) system that uses a tunable image‑translation model to generate endoscopic images with adjustable visibility enhancem…
CPDDNet: Color-Polarization Denoising and Demosaicking Network
Qihang Zhang, Yusuke Monno, Masayuki Tanaka +1
Color-polarization imaging using a color-polarization filter array (CPFA) sensor captures both texture (color intensity) and physical (polarization) information of the scene in a s…
Gastroendoscopy View Synthesis: A New Real Dataset and Evaluation
Masaki Minai, Yusuke Monno, Masatoshi Okutomi +1
Novel view synthesis (NVS) is an active research topic in computer vision, owing to the success of neural radiance field (NeRF) and 3D Gaussian splatting (3DGS) methods. While NVS…
Leveraging NeRF-Rendered Images for 3D Gaussian Splatting
Mizuki Morikawa, Yuta Shimizu, Chunyu Li +2
Neural radiance field (NeRF) and 3D Gaussian splatting (3DGS) are two mainstream approaches for novel view synthesis. They often show complementary performance, i.e., 3DGS demonstr…
Joint 2D-3D Segmentation and Association in Street-level Imaging
Amir Melnikov, Masayuki Tanaka, Yusuke Monno +1
Accurate interpretation of street-level imagery is essential for large-scale urban mapping and the creation of Spatial Digital Twin (SDT) environments. This work presents a unified…
Segmentation-Guided Neural Radiance Fields for Novel Street View Synthesis
Yizhou Li, Yusuke Monno, Masatoshi Okutomi +3
Recent advances in Neural Radiance Fields (NeRF) have shown great potential in 3D reconstruction and novel view synthesis, particularly for indoor and small-scale scenes. However,…