AI RESEARCH
Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling
arXiv CS.CV
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ArXi:2604.28185v1 Announce Type: new Recent visual generation models have made major progress in photorealism, typography, instruction following, and interactive editing, yet they still struggle with spatial reasoning, persistent state, long-horizon consistency, and causal understanding. We argue that the field should move beyond appearance synthesis toward intelligent visual generation: plausible visuals grounded in structure, dynamics, domain knowledge, and causal relations. To frame this shift, we.