In this article, we present a novel approach to editing both body and face in images using diffusion-based methods. Our method, called DiffBody, leverages the power of iterative refinement and text embedding optimization to create highly realistic edits that preserve facial identity while maintaining accurate body shapes. We demonstrate the effectiveness of our method through ablation studies and show that it outperforms existing methods on various datasets.
Body Editing
DiffBody’s body editing process involves iterative refinement, where each iteration uses a diffusion-based method to progressively improve the edited image. At each step, we use a loss function that combines identity loss with a weighted sum of CLIP similarity and keypoint loss. This allows us to maintain accurate body shapes while preserving facial identity.
Face Editing
In addition to body editing, DiffBody also optimizes text embeddings for refining face images. We use backpropagation to update the text embedding ebody based on the loss functions for each iteration. This approach not only improves the visual quality of the final output but also helps maintain facial identity during the editing process.
Ablation Study
To evaluate the effectiveness of our individual refinement approaches, we conducted an ablation study. The results show that text embedding optimization significantly improves realism and facial identity, while iterative refinement alone does not perform well without input reinitialization. This demonstrates the importance of combining both approaches for optimal results.
Conclusion
In conclusion, DiffBody represents a significant advancement in diffusion-based image editing. By combining iterative refinement and text embedding optimization, we can create highly realistic edits that preserve facial identity while maintaining accurate body shapes. Our ablation study demonstrates the effectiveness of this approach and highlights the importance of using both techniques together. With its efficiency and ability to produce high-quality edits, DiffBody has the potential to revolutionize the field of image editing.
