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Revisiting Multi-View Stereo: A Sequence-to-Sequence Formulation

Paper recorded by Signals 4 on 2026-09-21 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-21 on arXiv · recorded by Signals 4 on 2026-09-22

Category: cs.CV · 计算机视觉 · first seen 2026-09-22

Abstract

Computing accurate geometry from multi-view images is a fundamental problem in computer vision. Recent feed-forward (FF) models jointly estimate 3D geometry and camera parameters, but they typically suffer from geometry distortion caused by reconstruction ambiguity, even when ground-truth camera parameters are supplied. In this paper, we study the multi-view stereo (MVS) problem with known camera

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#8 most recent of 270 cs.CV papers we have recorded · ↑ newer: DTKDP: A Dual Teacher Knowledge Distillation and Pruning Framework for · ↓ older: When Wider Views Fail: Stress-Testing Feed-Forward 3D Reconstruction
Cite this page: Revisiting Multi-View Stereo: A Sequence-to-Sequence Formulation: the #8 most recent of 270 cs.CV papers we have recorded (as of 2026-09-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/revisiting-multi-view-stereo-a-sequence-to-sequence-formulation.html
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