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.

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

New repo collection for NVIDIA Cosmos: https://github.com/nvidia-cosmos

Reference models and tools for Cloud TPUs.

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629