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CrossWeave: Cross-Modal Scene and Instance Retrieval from Sparse 2D-3D Alignment

Paper recorded by Signals 4 on 2026-10-29 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-29 on arXiv · recorded by Signals 4 on 2026-10-30

Category: cs.CV · 计算机视觉 · first seen 2026-10-30

Abstract

Cross-modal scene and instance retrieval aims to retrieve a corresponding 3D environment or object given query 2D images, serving as a foundational mechanism for spatial reasoning in robotics and AR/VR. Existing methods achieve this by learning alignment only at the level of whole scenes or objects, which provides no supervision for the fine-grained local structure within them. In this work, we sh

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#59 most recent of 710 cs.CV papers we have recorded · ↑ newer: PhysCount: Do MLLMs Count Visual Appearances or Physical Entities? · ↓ older: LucidLyra: Feed-Forward Generative 3D Scene Reconstruction and Joint U
Cite this page: CrossWeave: Cross-Modal Scene and Instance Retrieval from Sparse 2D-3D Alignment: the #59 most recent of 710 cs.CV papers we have recorded (as of 2026-10-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/crossweave-cross-modal-scene-and-instance-retrieval-from-sparse-2d-3d-alignment.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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