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Restore images. These models restore and improve images by fixing defects like blur, noise, and low resolution. Key capabilities: Deblurring - Sharpen blurry images by reversing blur effects. Useful for old photos. Denoising - Remove grain and artifacts by learning noise patterns. Colorization - Add realistic color to black and white photos.
Key capabilities of upscaling models: Super-resolution - Upscale images by inferring high frequency details. Allows increasing resolution without losing quality. Noise reduction - Remove artifacts and imperfections during upscaling. Results in cleaner image. Face restoration - Improve facial features and textures for more natural faces.
Bringing Old Photos Back to Life, CVPR2020 (Oral) Old Photo Restoration via Deep Latent Space Translation, Ziyu Wan , Bo Zhang , Dongdong Chen , Pan Zhang , Dong Chen , Jing Liao , Fang Wen.
Restore the charm of your vintage photos with our AI Photo Restoration tool. We specialize in color revival and contrast enhancement to transform faded, dull images into vivid, sharp memories. Experience a newfound depth and saturation, bringing your old photos back to their original glory.
19 de mai. de 2024 · Microsoft's free AI effectively restores old photos with just one click, surpassing Photoshop's results. Use Replicate's catalog of AI tools to restore, colorize, and upscale old photos.
28 de jul. de 2022 · A new AI tool called GFPGAN can instantly restore old damaged and faded photos in a surprisingly realistic way.
In this paper, we propose a strong baseline model SwinIR for image restoration based on the Swin Transformer. SwinIR consists of three parts: shallow feature extraction, deep feature extraction and high-quality image reconstruction.
