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HARMONY: Hierarchical Agentic Reasoning for MONocular Image-to-Scene Synthesis

Paper recorded by Signals 4 on 2026-09-22 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-22 on arXiv · recorded by Signals 4 on 2026-09-23

Category: cs.CV · 计算机视觉 · first seen 2026-09-23

Abstract

Compositional 3D scene reconstruction has recently been explored from two directions: agentic reasoning that provides semantic understanding of spatial relationships but lacks precise alignment with input images; and visual geometry foundation models that predict dense point maps from input images but the reconstruction quality is limited. Therefore, recovering a complete 3D scene from a single mo

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#17 most recent of 301 cs.CV papers we have recorded · ↑ newer: φ-RIE: From Photorealistic Reconstruction to Interactive Environments · ↓ older: DreamStream: Towards Policy-Oriented Generative Simulation for End-to-
Cite this page: HARMONY: Hierarchical Agentic Reasoning for MONocular Image-to-Scene Synthesis: the #17 most recent of 301 cs.CV papers we have recorded (as of 2026-09-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/harmony-hierarchical-agentic-reasoning-for-monocular-image-to-scene-synthesis.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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