AGORA

Introduced by Patel et al. in AGORA: Avatars in Geography Optimized for Regression Analysis

AGORA is a synthetic human dataset with high realism and accurate ground truth. It consists of around 14K training and 3K test images by rendering between 5 and 15 people per image using either image-based lighting or rendered 3D environments, taking care to make the images physically plausible and photoreal. In total, AGORA contains 173K individual person crops. AGORA provides (1) SMPL/SMPL-X parameters and (2) segmentation masks for each subject in images.

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Benchmarks

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Task	Dataset Variant	Best Model
3D Human Pose Estimation	AGORA	NIKI
3D Multi-Person Mesh Recovery	AGORA	SMPLer-X
3D Human Reconstruction	AGORA	HybrIK-X
3D Multi-Person Pose Estimation	AGORA	SPEC