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SpaTime: Streaming Vision-Language Models for Spatio-temporal Reasoning

Paper recorded by Signals 4 on 2026-10-06 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-06 on arXiv · recorded by Signals 4 on 2026-10-07

Category: cs.CV · 计算机视觉 · first seen 2026-10-07

Abstract

Embodied agents must reason about 3D space while the video is still arriving, answering questions as soon as they have observed enough of the scene. VLMs that incorporate 3D geometric priors achieve strong spatial reasoning, but they operate offline, i.e., the full video must be available before they produce an answer. Streaming VLMs process frames causally and decide for themselves when to respon

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#342 most recent of 756 cs.CV papers we have recorded · ↑ newer: Post-Training Semantic Lifting for 3D Gaussian Splatting: Separating D · ↓ older: Local Content-Style Control for Diffusion-based Image Stylization
Cite this page: SpaTime: Streaming Vision-Language Models for Spatio-temporal Reasoning: the #342 most recent of 756 cs.CV papers we have recorded (as of 2026-10-06). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/spatime-streaming-vision-language-models-for-spatio-temporal-reasoning.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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