AIBullisharXiv – CS AI · 10h ago7/10
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One Image is All You Need: Agentic One-Shot Image Generation via Text-Based World Models for Long-Tail Spatial Perception
Researchers introduce WMGen-v1, an AI framework combining vision-language models with diffusion techniques to generate synthetic training data for autonomous systems. The system addresses the critical challenge of rare, safety-critical scenarios in spatial perception by creating physically plausible synthetic data from single reference images, demonstrating that models trained purely on generated data can approach real-world performance levels.