#image-editing2 articles

2 articles

AINeutralarXiv – CS AI · 6h ago3

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DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model

Researchers introduce DLEBench, the first benchmark specifically designed to evaluate instruction-based image editing models' ability to edit small-scale objects that occupy only 1%-10% of image area. Testing on 10 models revealed significant performance gaps in small object editing, highlighting a critical limitation in current AI image editing capabilities.

AIBullisharXiv – CS AI · 6h ago5

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Draw-In-Mind: Rebalancing Designer-Painter Roles in Unified Multimodal Models Benefits Image Editing

Researchers introduce Draw-In-Mind (DIM), a new approach to multimodal AI models that improves image editing by better balancing responsibilities between understanding and generation modules. The DIM-4.6B model achieves state-of-the-art performance on image editing benchmarks despite having fewer parameters than competing models.