Insert In Style is a zero-shot framework that disentangles identity, style, and composition via multi-stage training, masked attention, and prior preservation to enable harmonious cross-domain object insertion in images.
Styleshot: A snapshot on any style
2 Pith papers cite this work. Polarity classification is still indexing.
fields
cs.CV 2years
2025 2verdicts
UNVERDICTED 2representative citing papers
OmniGen2 introduces a unified generative model with two distinct decoding pathways and a decoupled image tokenizer that achieves competitive results on text-to-image and editing benchmarks plus state-of-the-art consistency among open-source models on the new OmniContext benchmark.
citing papers explorer
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Insert In Style: A Zero-Shot Generative Framework for Harmonious Cross-Domain Object Composition
Insert In Style is a zero-shot framework that disentangles identity, style, and composition via multi-stage training, masked attention, and prior preservation to enable harmonious cross-domain object insertion in images.
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OmniGen2: Towards Instruction-Aligned Multimodal Generation
OmniGen2 introduces a unified generative model with two distinct decoding pathways and a decoupled image tokenizer that achieves competitive results on text-to-image and editing benchmarks plus state-of-the-art consistency among open-source models on the new OmniContext benchmark.