LAVIS——面向语言-视觉智能的一站式库
image-captioning 开源项目推荐(1,349 个)
image-captioning 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 1,349 个仓库用于 BLIP 的 PyTorch 代码:面向统一视觉-语言理解与生成的 Bootstrapping Language-Image Pre-training
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Caption-Anything 是一个多功能工具,结合图像分割、视觉描述和 ChatGPT,可根据用户偏好通过多种控制生成定制字幕。https://huggingface.co/spaces/TencentARC/Caption-Anything https://huggingface.co/spaces/VIPLab/Caption-Anything
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Simple Swift class to provide all the configurations you need to create custom camera view in your app
图像数据集的标签管理器和字幕
The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".
Oscar and VinVL
Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.
🔥 🔥 🔥 A paper list of some recent Computer Vision(CV) works
X-modaler is a versatile and high-performance codebase for cross-modal analytics(e.g., image captioning, video captioning, vision-language pre-training, visual question answering, visual commonsense reasoning, and cross-modal retrieval).
TensorFlow Implementation of "Show, Attend and Tell"
AI VTuber,配备LLM、ASR、TTS、OCR、CV等技术,与你一起直播或玩Minecraft。
👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]
自定义ComfyUI节点,支持视觉语言模型、大型语言模型、图像转音乐、文本转音乐、一致且随机的创意提示生成
PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/image-captioning。
- 该话题在 GitHub 上共有 1,349 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 4.6 万 Star,覆盖 3 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。