XPixelGroup/DiffBIR

Features

• Blind Restoration Models - Provides a framework for restoring images without prior knowledge of the specific degradation applied.
• Diffusion Image Restoration Frameworks - Provides a complete diffusion-based framework for reconstructing high-quality images from degraded sources.
• Degradation Mappings - Implements techniques to map degraded visual inputs into clean latent spaces for blind image reconstruction.
• Generative Upscalers - Uses generative diffusion techniques to reconstruct missing high-resolution details during image upscaling.
• Image Resolution Reconstruction - Estimates original source pixels to restore fine details to degraded images using generative diffusion priors.
• Tiled Resolution Scaling - Uses tiled sampling to scale large images to high resolutions while preventing system memory exhaustion.
• Generative Priors - Utilizes pretrained generative networks as high-quality structural priors to guide image restoration.
• Tiled Upscaling - Increases image resolution using a tile-based refinement process to maintain spatial consistency and memory efficiency.
• Face Restoration - Provides generative restoration of facial structures to recover fine details in degraded portraits.
• Blind - Enhances facial features and recovers backgrounds in portraits without requiring prior face alignment.
• Diffusion Model Training - Includes workflows for training diffusion models to combine restoration with generative capabilities.
• Image Restoration Model Training - Provides capabilities to train multi-stage pipelines that integrate generative components for image restoration.
• Image Restoration Pipelines - Employs a multi-stage pipeline of specialized models to iteratively remove image artifacts and refine details.
• Large Scale Processing - Handles massive high-resolution images on limited hardware through distributed tiled processing.
• Face Restoration - Blind image restoration with generative diffusion priors.
• Image Restoration - Blind image restoration with generative diffusion priors.
• Inverse Problems - Listed in the “Inverse Problems” section of the Awesome Diffusion Models awesome list.

Star history