📄 中文摘要
研究表明，想象力在视觉推理中扮演着重要角色，但在潜在空间中的应用仍然存在局限。通过对现有模型的分析，发现其在处理复杂视觉任务时缺乏有效的想象能力。为了解决这一问题，提出了一种简单的修复方法，旨在增强模型的视觉推理能力。该方法通过引入更丰富的训练数据和改进的算法，提升了模型在潜在空间中的表现，进而推动了视觉推理的进步。研究结果显示，改进后的模型在多个测试场景中表现优异，展示了想象力在视觉推理中的潜在价值。
想象力助力视觉推理——但在潜在空间中尚未实现：我的研究与一个简单的解决方案
📄 English Summary
Imagination Helps Visual Reasoning — But Not Yet in Latent Space: My Research and a Simple Fix That…
The research highlights the significant role of imagination in visual reasoning, yet its application in latent space remains limited. An analysis of existing models reveals their inefficacy in handling complex visual tasks due to a lack of effective imaginative capabilities. To address this issue, a simple fix is proposed to enhance the model's visual reasoning abilities. This method incorporates richer training data and improved algorithms, leading to better performance in latent space and advancing visual reasoning. Results indicate that the improved model excels in various test scenarios, showcasing the potential value of imagination in visual reasoning.