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Synthetic humans: from SURREAL to BEDLAM
From SURREAL (6.5M frames) to BEDLAM, Michael Black’s line of work shows when synthetic humans match real data, when they don’t, and what’s missing.
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4D reconstruction AI and the brain AI ethics AI infrastructure AI transparency BEDLAM bias ChatGPT class imbalance computer vision dataset augmentation depth fundamentals generative models ghost AI Infinigen introduction long-tail recognition MIT study monocular video object removal opinion paper analysis pre-training procedural generation quality inspection real-data limit representation learning representativeness robotics semantic segmentation sim-to-real SMPL SURREAL synthetic data synthetic humans synthetic images tech giants video
