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Grounding Generative Verification in 3D Content

Paper recorded by Signals 4 on 2026-10-15 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-15 on arXiv · recorded by Signals 4 on 2026-10-16

Category: cs.CV · 计算机视觉 · first seen 2026-10-16

Abstract

Recent advances in multimodal large language models (MLLMs) and 3D generation have expanded 3D understanding and synthesis. However, beyond visual fidelity, task-specific correctness grounded in 3D evidence remains a major challenge. We argue that building reliable 3D systems requires not only stronger generation and reasoning, but also verification feedback that identifies unmet requirements and

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#253 most recent of 756 cs.CV papers we have recorded · ↑ newer: Perceive, Predict, and Plan: a Unified World Action Model for Egocentr · ↓ older: DK-VLM: Geometry as Position for Spatial Reasoning in Vision-Language
Cite this page: Grounding Generative Verification in 3D Content: the #253 most recent of 756 cs.CV papers we have recorded (as of 2026-10-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/grounding-generative-verification-in-3d-content.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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