Yonglild

CogVLM2

GPT4V-level open-source multi-modal model based on Llama3-8B

Depth-Anything-V2

Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

HybridDepth

Official implementation for HybridDepth Model

Depth3D

depth-fm

DepthFM: Fast Monocular Depth Estimation with Flow Matching

easy_handeye

Automated, hardware-independent Hand-Eye Calibration

apriltags-cpp

C++ port of the AprilTags library, using OpenCV (and optionally, CGAL)

GenerateU

[CVPR2024] Generative Region-Language Pretraining for Open-Ended Object Detection

SwissArmyTransformer

SwissArmyTransformer is a flexible and powerful library to develop your own Transformer variants.

groundingLMM

[CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.

PatchFusion

[CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation

EfficientSAM

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

SS-OWFormer

Metric3D

The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

GasMono

Code for GasMono, accepted by ICCV 2023

sc_depth_pl

SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation Webpage:https://jiawangbian.github.io/sc_depth_pl/

lang-segment-anything

SAM with text prompt

EVA

EVA Series: Visual Representation Fantasies from BAAI

CogVLM

a state-of-the-art-level open visual language model | 多模态预训练模型

APE

[CVPR 2024] Aligning and Prompting Everything All at Once for Universal Visual Perception

Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

Lite-Mono

[CVPR2023] Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation

vidar

MiDaS

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

RAP-SAM

OMG-Seg

OMG-LLaVA and OMG-Seg codebase

Emu

Emu Series: Generative Multimodal Models from BAAI

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

GLEE

[CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale