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OmniRay: Camera-Agnostic Monocular 3D Reconstruction with Composite Ray Fields

Paper recorded by Signals 4 on 2026-10-22 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-22 on arXiv · recorded by Signals 4 on 2026-10-23

Category: cs.CV · 计算机视觉 · first seen 2026-10-23

Abstract

Monocular models recover 3D geometry from a single image in one pass, but most assume a pinhole camera and produce distorted geometry on the wide-angle imagery produced by fisheye and panoramic lenses. Camera-aware models remove this assumption by predicting a per-pixel ray field. However, they represent different camera geometries using a single fixed basis to capture both the overall camera proj

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#176 most recent of 756 cs.CV papers we have recorded · ↑ newer: Gate3DGen: A Pre-processing Model that Selectively Purifies Real-World · ↓ older: GigaBench: Benchmarking Learnable Representations for Gigapixel Image
Cite this page: OmniRay: Camera-Agnostic Monocular 3D Reconstruction with Composite Ray Fields: the #176 most recent of 756 cs.CV papers we have recorded (as of 2026-10-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/omniray-camera-agnostic-monocular-3d-reconstruction-with-composite-ray-fields.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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