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arXiv Computer Vision By Aoxiang Fan, Corentin Dumery, Nicolas Talabot, Pascal Fua

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

Read the original on arXiv Computer Vision →

The paper proposes a new sequence-to-sequence formulation for multi-view stereo (MVS) that jointly predicts 3D geometry for all input views using a global transformer architecture. It introduces ray‑map embeddings to inject camera parameters into image tokens and a unified global cost volume to capture 3D structure across all views. Experiments on public benchmarks demonstrate state‑of‑the‑art performance, outperforming both traditional MVS and feed‑forward reconstruction baselines.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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