Kavli Affiliate: Wei Gao| Summary:Vision-Language Models (VLMs) have continuous deficiency in spatial reasoning tasks that require emphmental spatial transformation, such as reasoning under hypothetical changes in viewpoint or position, known as perspective-taking tasks. Existing approaches either scale linguistic reasoning or augment VLMs with static geometric representations, but neither directly enables active transformation of the represented […]
Continue.. WorldMind: Test-Time Scaling for Visual Spatial Reasoning through Latent World Simulation