Enhance and restore images using SwinIR
Generate depth map from an image
Segment objects in images and videos using text prompts
Complete depth for images using sparse depth maps
Detect if a person in a picture is a Host from Westworld
Swap Single Face
Generate correspondences between images
Interact with Florence-2 to analyze images and generate descriptions
Search and detect objects in images using text queries
Restore and enhance images
Vote on background-removed images to rank models
FitDiT is a high-fidelity virtual try-on model.
Generate depth map from an image
SwinIR Super Resolution is an AI-powered tool designed to enhance and restore images with state-of-the-art technology. It leverages advanced neural networks to improve image quality by upsampling, denoising, and removing artifacts. Built on the Swin Transformer, this model excels at handling various resolutions and image details with high precision and efficiency.
What technology does SwinIR Super Resolution use?
SwinIR Super Resolution is built using the Swin Transformer, a powerful neural network architecture designed for image processing tasks.
Can I use SwinIR Super Resolution on any device?
SwinIR is optimized for GPU acceleration but can also run on CPUs. A decent GPU is recommended for faster processing.
What types of image restoration can SwinIR handle?
SwinIR supports upscaling, denoising, deblurring, and other restoration tasks, making it a versatile tool for image enhancement.