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Can Learning to Answer Spatial Questions Improve Novel-View Generation?

Paper recorded by Signals 4 on 2026-10-14 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-14 on arXiv · recorded by Signals 4 on 2026-10-15

Category: cs.CV · 计算机视觉 · first seen 2026-10-15

Abstract

Generating novel views from limited observations requires preserving both the appearance and spatial structure of a scene. Although recent approaches exploit fine-grained geometric cues, they do not explicitly model high-level semantic and spatial properties such as object identity, attributes, and inter-object relationships. In this work, we investigate whether 3D language understanding can provi

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#264 most recent of 756 cs.CV papers we have recorded · ↑ newer: MJev-Spatial: System One Spatial Intelligence via Native Attention Mat · ↓ older: Representation Conditioning for Generation
Cite this page: Can Learning to Answer Spatial Questions Improve Novel-View Generation?: the #264 most recent of 756 cs.CV papers we have recorded (as of 2026-10-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/can-learning-to-answer-spatial-questions-improve-novel-view-generation.html
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