ImIR Uses Image-Instruction Tuning for Unified Image Restoration

ImIR replaces text prompts in image-editing models with continuous semantic instructions derived from a lightweight token mapper. This allows a single model to handle diverse degradations by shifting vision-language embeddings toward clean image representations.