FoCLIP: A Feature-Space Misalignment Framework for CLIP-Based Image Manipulation and Detection
FoCLIP introduces a method to improve an image's score in CLIP-based quality metrics while keeping its visual appearance unchanged. It optimizes image features by jointly minimizing alignment loss, balancing similarity scores across different text prompts, and constraining pixel values to ensure high visual fidelity. This results in better quality scores and a new detection method based on color channel sensitivity.