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MindView: Benchmarking Generative Multi-View Spatial Intelligence

Paper recorded by Signals 4 on 2026-10-20 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-20 on arXiv · recorded by Signals 4 on 2026-10-21

Category: cs.AI · 人工智能 · first seen 2026-10-21

Abstract

Spatial intelligence has recently been assessed through generative tasks such as spatially grounded image editing, yet language-guided generation of spatially consistent views from partial multi-view observations remains underexplored. We introduce MindView, a benchmark for generative multi-view spatial intelligence with 1,500 samples from 513 scenes across three indoor datasets. Its seven tasks f

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#225 most recent of 960 cs.AI papers we have recorded · ↑ newer: Industrial ReMEmbR: Scaling Spatiotemporal Memory to Robot Fleets · ↓ older: Adaptive Multi-Token Prediction: How far should we go?
Cite this page: MindView: Benchmarking Generative Multi-View Spatial Intelligence: the #225 most recent of 960 cs.AI papers we have recorded (as of 2026-10-20). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mindview-benchmarking-generative-multi-view-spatial-intelligence.html
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