A latent text-to-image diffusion model

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.

Google Research

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

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

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Using Low-rank adaptation to quickly fine-tune diffusion models.

A unified framework for 3D content generation.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)

Metric depth estimation from a single image

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

A suite of image and video neural tokenizers

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

[ECCV'2024] Gaussian Grouping for open-world Anything reconstruction, segmentation and editing.

The ApolloScape Open Dataset for Autonomous Driving and its Application.

[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving

An open-source library for GPU-accelerated robot learning and sim-to-real transfer.

A Scalable Pipeline for Making Steerable Multi-Task Mid-Level Vision Datasets from 3D Scans [ICCV 2021]

Combining Segment Anything (SAM) with Grounded DINO for zero-shot object detection and CLIPSeg for zero-shot segmentation

[CVPR 2023 Highlight] Perspective Fields for Single Image Camera Calibration

[CVPR 2022 Oral] Official Pytorch Implementation of "OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion"

[ECCV 2024] SUP-NeRF: A Streamlined Unification of Pose Estimation and NeRF for Monocular 3D Object Reconstruction

PyAEZ is a python package consisted of many algorithms related to Agro-ecalogical zoning (AEZ) framework.