text-guided image editing
This involves using textual descriptions to drive modifications in images through AI models. Techniques may merge natural language processing with computer vision to allow users to edit images based on verbal commands.
- Aligning Text to Image in Diffusion Models is Easier Than You Think
- AutoEdit: Automatic Hyperparameter Tuning for Image Editing
- CAMILA: Context-Aware Masking for Image Editing with Language Alignment
- Counterfactual Image Editing with Disentangled Causal Latent Space
- Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models
- NEP: Autoregressive Image Editing via Next Editing Token Prediction
- PairEdit: Learning Semantic Variations for Exemplar-based Image Editing
- The Promise of RL for Autoregressive Image Editing