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MLLMs struggle with artistic intent, scoring only 48.29% on a benchmark designed to evaluate nuanced understanding in audiovisual arts.
Pixel-space diffusion models get a serious boost: V-Co reveals a simple recipe for visual co-denoising that outperforms existing methods on ImageNet-256 with fewer training epochs.
