[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"
Collection of AWESOME vision-language models for vision tasks
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
DeepSeek-VL: Towards Real-World Vision-Language Understanding
The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.
A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.
The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".
The code used to train and run inference with the ColPali architecture.
日本語LLMまとめ - Overview of Japanese LLMs
[CVPR 2024 Highlight🔥] Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
[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.
[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization
A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.
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