Fast Inversion for Real-Time Image Editing with Text
- Introduction
- RNRI enables real-time image editing by balancing rapid convergence with superior accuracy, execution time, and memory efficiency.
- Inversion as Solving an Implicit Equation
- DDIM inversion involves searching for a seed that reconstructs a given image using a diffusion model.
- DDIM Inversion
- It denoises a latent noise vector using an implicit equation that cannot be solved in closed form.
- Regularized Newton-Raphson Inversion Method
- NR method is faster and more accurate for solving implicit functions.
- A regularization term is added to improve reconstruction of images.
- Performance Comparison
- RNRI demonstrates improved PSNR, run time, and image fidelity over existing methods.
- Image Editing with RNRI
- RNRI performs well in accurately editing images based on text prompts.
- Conclusion
- RNRI outperforms existing approaches, achieving state-of-the-art image editing with text in real images.
