Dear Editor, Scene understanding is an essential task in computer vision. The ultimate objective of scene understanding is to instruct computers to understand and reason about the scenes as humans do. Parallel vision is a research framework that unifies the explanation and perception of dynamic and complex scenes. Parallel vision's rationality has been proven through recent research hotspots in artificial intelligence, like the metaverse, world models, and other concepts. At the same time, the development of modern technology has also provided new technologies and ideas for implementing parallel vision. This letter explores the current status of parallel vision, expands the related research connotation of a parallel vision by using the existing research hotspots, and points out the possible development direction of scene understanding based on parallel vision in the future.

中文翻译：

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平行视觉 Σ 图像合成/增强

尊敬的编辑，场景理解是计算机视觉中的一项重要任务。场景理解的最终目标是指导计算机像人类一样理解和推理场景。平行视觉是一种统一对动态复杂场景的解释和感知的研究框架。平行视觉的合理性已经被近年来人工智能领域的研究热点，如元宇宙、世界模型等概念所证明。同时，现代技术的发展也为实现并行视觉提供了新的技术和思路。本文探讨了平行视觉的现状，利用现有的研究热点拓展了平行视觉的相关研究内涵，并指出了未来基于平行视觉的场景理解可能的发展方向。