SOURCE-LINKED INTELLIGENCE
Thinking in Pictures: A Systematic Benchmark for Reasoning-driven Image Generation
Recent advancements in unified generative models (UGMs) and world simulators have achieved unprecedented results in visual perception and synthesis. However, these models primarily rely on surface-level event alignment, leaving the capacity for high-level visual reasoning underexplored. True visual generative intelligence demands "Reasoning-to-Generation", an ability to infer latent rules from visual inputs and manifest solutions through precise, logically constrained visual outcomes. We introduce RIG-BENCH, a novel comprehensive benchmark that systematically evaluates Reasoning-driven Image G
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-02T17:48:02.000Z
First collected: 2026-09-21T05:11:56.580Z. This is not the publication date.