Structure-Preserving Zero-Shot Image Editing via Stage-Wise Latent Injection in Diffusion Models

Dasol Jeong; Donggoo Kang; Jiwon Park; Hyebean Lee; Joonki Paik

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arXiv · 2504.15723

Structure-Preserving Zero-Shot Image Editing via Stage-Wise Latent Injection in Diffusion Models

Dasol Jeong·Donggoo Kang·Jiwon Park·Hyebean Lee·Joonki Paik

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Abstract

We propose a diffusion-based framework for zero-shot image editing that unifies text-guided and reference-guided approaches without requiring fine-tuning. Our method leverages diffusion inversion and timestep-specific null-text embeddings to preserve the structural integrity of the source image. By introducing a stage-wise latent injection strategy-shape injection in early steps and attribute injection in later steps-we enable precise, fine-grained modifications while maintaining global consistency. Cross-attention with reference latents facilitates semantic alignment between the source and reference. Extensive experiments across expression transfer, texture transformation, and style infusion demonstrate state-of-the-art performance, confirming the method's scalability and adaptability to diverse image editing scenarios.

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Dasol Jeong, Donggoo Kang, Jiwon Park, Hyebean Lee, Joonki Paik. 2025-04-22. Structure-Preserving Zero-Shot Image Editing via Stage-Wise Latent Injection in Diffusion Models. https://arxiv.org/abs/2504.15723

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