🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

PhotoMaker [CVPR 2024]

The code of the paper "NExT-Chat: An LMM for Chat, Detection and Segmentation".

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

Emu Series: Generative Multimodal Models from BAAI

StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation

Versatile End-to-End Recommender System

[ECCV 2024] Official code implementation of Vary: Scaling Up the Vision Vocabulary of Large Vision Language Models.

Outfit Anyone: Ultra-high quality virtual try-on for Any Clothing and Any Person

Turn the draft into amazing artwork with the power of Real-Time Latent Consistency Model

OCR software, free and offline. 开源、免费的离线OCR软件。支持截屏/批量导入图片，PDF文档识别，排除水印/页眉页脚，扫描/生成二维码。内置多国语言库。

A curated list of foundation models for vision and language tasks

Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥

This repo contains code and a pre-trained model for clothes segmentation.

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

Making large AI models cheaper, faster and more accessible

📷 EasyPhoto | Your Smart AI Photo Generator.

[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

We write your reusable computer vision tools. 💜

Tool for automating common video key-frame extraction, video compression and Image Auto-crop/Image-resize tasks

🎥 Python and OpenCV-based scene cut/transition detection program & library.

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…

Optimise Shopping feeds with Generative AI

[NeurIPS 2023] This repo contains the code for our paper Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

[CVPR'23] Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation

Official PyTorch implementation of "Extract Free Dense Labels from CLIP" (ECCV 22 Oral)

Paper ibrahim et al, cvpr 2020 - Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks

This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.