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New dataset enables novel view synthesis for gastroendoscopy

Researchers have introduced the GastroNVS dataset, the first real-world dataset designed for novel view synthesis (NVS) in gastroendoscopy. This dataset aims to address the current lack of sufficient data for evaluating NVS techniques in this medical field. It includes gastroscopic images, camera poses, and a point cloud, and has been used to assess existing 3D Gaussian splatting methods, highlighting challenges for future development. AI

IMPACT This dataset could accelerate the development of AI-powered tools for enhanced gastroendoscopy procedures and training.

RANK_REASON The cluster describes a new dataset and evaluation for a specific application of computer vision techniques, published on arXiv.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New dataset enables novel view synthesis for gastroendoscopy

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The cluster describes a new dataset and evaluation for a specific application of computer vision techniques, published on arXiv.
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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Masaki Minai, Yusuke Monno, Masatoshi Okutomi, Sho Suzuki ·

    Gastroendoscopy View Synthesis: A New Real Dataset and Evaluation

    arXiv:2606.25427v1 Announce Type: new Abstract: 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 opens the door to potential applications in gastroen…

  2. arXiv cs.CV TIER_1 English(EN) · Sho Suzuki ·

    Gastroendoscopy View Synthesis: A New Real Dataset and Evaluation

    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 opens the door to potential applications in gastroendoscopy, such as extending the field of view of …