MIRNet alternatives for AI agents.

[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

[NeurIPS 2025] 4KAgent: Agentic Any Image to 4K Super-Resolution. An intelligent computer vision agent that can magically restore any image to perfect-4K!

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

A Tensorflow implementation of RetinexNet

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Scenic: A Jax Library for Computer Vision Research and Beyond

A python library for self-supervised learning on images.

Superfast AI decision making and intelligent processing of multi-modal data.

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.

An open source library and framework for deep learning on satellite and aerial imagery.

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute