From the 1 of 11 linked papers with an AI index.
11 papers
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…
StereoSplat+: Feed-Forward Stereo Gaussian Splatting with Diffusion-Assisted Progressive Inference
Zihua Liu, Masatoshi Okutomi
Recent advances in 3D Gaussian Splatting (3DGS) have enabled high-quality, render-ready scene representations for novel-view synthesis. However, most existing 3DGS pipelines rely o…
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…
Stochastic Signed Distance Processes
Hiroki Sakuma, Masatoshi Okutomi
Multi-view surface reconstruction is a core problem in computer vision. One prominent line of work represents the surface implicitly as a signed distance field (SDF), optimizing it…
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…
VSRD++: Autolabeling for 3D Object Detection via Instance-Aware Volumetric Silhouette Rendering
Zihua Liu, Hiroki Sakuma, Masatoshi Okutomi
Monocular 3D object detection is a fundamental yet challenging task in 3D scene understanding. Existing approaches heavily depend on supervised learning with extensive 3D annotatio…