arXiv:2508.17298v3 Announce Type: replace-cross Abstract: Compositional visual reasoning has emerged as a key research frontier in multimodal AI, aiming to endow machines with the human-like ability to decompose visual scenes, ground intermediate concepts, and perform multi-step logical inference. While early surveys focus on monolithic vision-language models or general multimodal reasoning, a dedicated synthesis of the rapidly expanding compositional visual reasoning literature is still missing. We fill this gap with a comprehensive survey spanning 2023 to 2025 that systematically reviews 260
The publication of a dedicated survey on compositional visual reasoning from 2023-2025 highlights the rapid maturation and increasing complexity within this specific AI research domain.
This survey indicates a major technical frontier in AI, where machines are being trained to perform more sophisticated, human-like logical inference from visual information, moving beyond monolithic models.
The focus is shifting towards more modular and interpretable AI systems capable of multi-step reasoning, which could accelerate the development of more robust general-purpose AI.
- · AI research institutions
- · Computer Vision developers
- · Multimodal AI platforms
- · Developers of monolithic, black-box AI models
Increased research and development into compositional AI architectures.
Improved capabilities for AI agents to understand and interact with complex visual environments.
Acceleration of autonomous systems and robotic AI due to enhanced visual reasoning and interpretability.
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Read at arXiv cs.AI