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Adobe Research
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MAOAM enables seamless object and material selection in image editing, achieving pixel-perfect accuracy through innovative multi-modal interaction.
Ditch the one-hot targets: a new loss function slashes training time and boosts image quality for discrete image generators with massive codebooks.
A unified post-training framework lets a multimodal diffusion language model master reasoning across visual math, grounding, and image editing tasks without task-specific reinforcement learning.
