Scenic: A Jax Library for Computer Vision Research and Beyond

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Segment Anything combined with CLIP

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Experiment on combining CLIP with SAM to do open-vocabulary image segmentation.

[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.

[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...

Deploy some tools for training, testing, and visualization

Models and examples built with TensorFlow