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- [2501. 01097] EliGen: Entity-Level Controlled Image Generation with . . .
By contributing a high-quality dataset with fine-grained spatial and semantic entity-level annotations, we train EliGen to achieve robust and accurate entity-level manipulation, surpassing existing methods in both spatial precision and image quality
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- Paper page - EliGen: Entity-Level Controlled Image Generation with . . .
To address this limitation, we present EliGen, a novel framework for Entity-Level controlled Image Generation We introduce regional attention, a mechanism for diffusion transformers that requires no additional parameters, seamlessly integrating entity prompts and arbitrary-shaped spatial masks
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- EliGen | PromptLayer Models
EliGen is a groundbreaking text-to-image generation model that introduces precise entity-level control capabilities It leverages a novel regional attention mechanism within the DiT framework to enable fine-grained control over specific image regions
- EliGen: Entity-Level Controlled Image Generation with Regional Attention
EliGen demonstrates high generalization in entity-level controlled image generation, delivering superior image quality and entity accuracy compared to existing models
- modelscope EliGen · Hugging Face
We propose EliGen, a novel approach that leverages fine-grained entity-level information to enable precise and controllable text-to-image generation EliGen excels in tasks such as entity-level controlled image generation and image inpainting, while its applicability is not limited to these areas
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