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New framework PanoAffordanceNet tackles 360-degree affordance grounding

Researchers have introduced PanoAffordanceNet, a novel framework designed for holistic affordance grounding in 360-degree indoor environments. This new task addresses challenges such as geometric distortions from equirectangular projection and semantic dispersion. The PanoAffordanceNet framework incorporates a Distortion-Aware Spectral Modulator and an Omni-Spherical Densification Head to improve calibration and topological continuity. Additionally, the team has created the 360-AGD dataset, the first of its kind for panoramic affordance grounding, and demonstrated that their method significantly outperforms existing approaches. AI

IMPACT Establishes a new benchmark for scene-level perception in embodied intelligence and provides tools for 360-degree environment understanding.

RANK_REASON The cluster contains a research paper detailing a new framework and dataset for a computer vision task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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New framework PanoAffordanceNet tackles 360-degree affordance grounding

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The cluster contains a research paper detailing a new framework and dataset for a computer vision task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Guoliang Zhu, Wanjun Jia, Caoyang Shao, Yuheng Zhang, Zhiyong Li, Kailun Yang ·

    PanoAffordanceNet: Towards Holistic Affordance Grounding in 360{\deg} Indoor Environments

    arXiv:2603.09760v2 Announce Type: replace Abstract: Global perception is essential for embodied agents in 360{\deg} spaces, yet current affordance grounding remains largely object-centric and restricted to perspective views. To bridge this gap, we introduce a novel task: Holistic…