Decoupling Spherical Reasoning from Dense Prediction for 360 Depth Estimation

arXiv:2609.38856 · cs.CV · Submitted 2026-09-30 · Read on arXiv

cs.CV

Submitted: 2026-09-30

Updated: 2026-09-30

Terminology

• Ablation — 7× in this paper · explained in 1 episode
• Aggregation — 7× in this paper · explained in 1 episode
• Spherical Context Conditioning — 7× in this paper
• Benchmark — 6× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 5× in this paper
• Accuracy — 4× in this paper · explained in 1 episode
• Fibonacci Spherical Graph — 4× in this paper
• Transformer — 4× in this paper · explained in 2 episodes
• Decoupling — 3× in this paper · explained in 2 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• European Conference on Computer Vision — 2× in this paper
• Objective Function — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptive Sampling — 1× in this paper · explained in 1 episode
• Adaptive Weighting — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Gaussian Splatting — 1× in this paper · explained in 4 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Root Mean Squared Error — 1× in this paper

Sources

• Joint 2D-3D-Semantic Data for Indoor Scene Understanding
• Matterport3D: Learning from RGB-D Data in Indoor Environments
• Spherical CNNs
• DeepSphere: a graph-based spherical CNN
• Spherical CNNs on Unstructured Grids

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