Hi tomer,
Avishai hershkovitz and Vital Marciano
SUPIR (Scaling-UP Image Restoration), a groundbreaking image restoration method that harnesses generative prior and the power of model scaling up. Leveraging multi-modal techniques and advanced generative prior, SUPIR marks a significant advance in intelligent and realistic image restoration. As a pivotal catalyst within SUPIR, model scaling dramatically enhances its capabilities and demonstrates new potential for image restoration. We collect a dataset comprising 20 million high-resolution, high-quality images for model training, each enriched with descriptive text annotations. SUPIR provides the capability to restore images guided by textual prompts, broadening its application scope and potential.
link :https://supir.xpixel.group/
code :
It was already done: https://www.opteamizer.co.il/forum/deep-learning/deep-learning-for-computer-vision-course-project-supir/dl-dc2a28c3-cfaa-4e0a-add4-d4ee51058cb6?postId=65f176ef7d2d21001089f1bd&searchTerm=SUPIR