Signals 4 · free daily AI digest

MV-dVRK: A Multi-Viewpoint Benchmark for Spatial Surgical Perception

Paper recorded by Signals 4 on 2026-09-02 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-02 on arXiv · recorded by Signals 4 on 2026-09-03

Category: cs.CV · 计算机视觉 · first seen 2026-09-03

Abstract

Large-scale training and refined optimization techniques have greatly improved sparse multi-view 3D reconstruction. Despite their relevance to surgery, such methods have never before been rigorously evaluated on real endoscopic images. Current clinical telerobots deploy a single stereo camera inside the patient, making multi-viewpoint data extremely rare. This paper presents MV-dVRK, the first ex-

Read on arXiv →

#171 most recent of 237 cs.CV papers we have recorded · ↑ newer: InceptionGS: Generative Bootstrapping for Large-Scale Gaussian Splatti · ↓ older: A Top-Down Framework for Metric-Scale Athlete Localization from Single
Cite this page: MV-dVRK: A Multi-Viewpoint Benchmark for Spatial Surgical Perception: the #171 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mv-dvrk-a-multi-viewpoint-benchmark-for-spatial-surgical-perception.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.CV papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions