Paper splits visual generation into autoregressive knowledge and diffusion rendering
A 3B text-to-image model trained in 6,600 H100 hours scored 86 on GenEval and 87 on DPG-Bench.
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A 3B text-to-image model trained in 6,600 H100 hours scored 86 on GenEval and 87 on DPG-Bench.
A conceptual agenda compares detection and watermarking for generated and code-rendered media.
OmniHarness learns symbolic policies for visual generation agents, reaching a 95.0% resolve rate on ComfyBench Creative tasks, 27.5 points above the strongest baseline.
Researchers propose an L0-L4 control taxonomy for agentic visual generation, classifying controllers from fixed conditioning to experience-adaptive decision-making.
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