Shilin-LU/TF-ICON
[ICCV 2023] "TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition" (Official Implementation)
Leverages an off-the-shelf Stable Diffusion model without training or finetuning, using an "exceptional prompt" (information-free text) to improve real image inversion into latent space for accurate composition. The framework performs cross-domain image-guided composition by seamlessly integrating foreground objects into background contexts via diffusion-based inversion and synthesis. Supports both cross-domain and same-domain composition scenarios across diverse visual styles (photorealism, cartoon, oil painting) with customizable input masks and prompts.
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821
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Language
Python
License
MIT
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Last pushed
Mar 06, 2025
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