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Task-specific image editing can boost MLLM performance by over 29%, but not all tasks benefit equally鈥攕ome are left behind.
Achieving a 0.499 face similarity score, WithEveryone revolutionizes group image generation by ensuring identity preservation for up to ten individuals without direct face copying.
Image editing benchmarks are broken: even GPT-4 is worse than the new PVC-Judge model at assessing visual consistency in edited images.
