# High-Resolution Image Understanding

EuroVLM-9B-Preview is a multimodal vision-language model based on the long-context version of EuroLLM-9B, supporting multiple languages and visual tasks. It is currently in the preview version.

Janus-Pro is an innovative autoregressive framework that unifies multimodal understanding and generation capabilities. By decoupling visual encoding paths and employing a single Transformer architecture, it resolves conflicts in the roles of visual encoders between understanding and generation.

PaliGemma 2 is a Vision-Language Model (VLM) launched by Google, combining the capabilities of the Gemma 2 language model and SigLIP vision model, supporting image and text inputs to generate text outputs.

PaliGemma 2 is a vision-language model based on Gemma 2, supporting image+text input and text output, suitable for various vision-language tasks.

PaliGemma 2 is a Vision-Language Model (VLM) launched by Google, integrating Gemma 2 capabilities, supporting image and text input to generate text output

PaliGemma 2 is Google's upgraded vision-language model (VLM) that combines Gemma 2 capabilities, supporting image and text input to generate text output.

PaliGemma 2 is a vision-language model based on Gemma 2, supporting image and text input to generate text output, suitable for various vision-language tasks.

PaliGemma 2 is an upgraded vision-language model released by Google, combining the capabilities of Gemma 2 and SigLIP vision models, supporting multilingual vision-language tasks.

Dragonfly is a multimodal vision-language model fine-tuned with instructions based on Llama 3.1, supporting joint understanding and generation of images and text

ConvLLaVA-JP is a Japanese vision-language model that supports high-resolution input and can engage in conversations about input images.

CogVLM2 is a multimodal dialogue model based on Meta-Llama-3-8B-Instruct, supporting both Chinese and English, with 8K context length and 1344*1344 resolution image processing capabilities.

360VL is an open-source large multimodal model developed based on the LLama3 language model, featuring powerful image understanding and bilingual text support capabilities.

CogVLM2 is a multimodal large model built on Meta-Llama-3-8B-Instruct, supporting both Chinese and English with powerful image understanding and dialogue capabilities.

CogVLM2 is a multimodal large model built upon Meta-Llama-3-8B-Instruct, supporting image understanding and dialogue tasks with 8K context length and 1344x1344 image resolution processing capability.

360VL is a multimodal model developed based on the LLama3 language model, featuring powerful image understanding and bilingual dialogue capabilities.

PaliGemma is a versatile lightweight vision-language model (VLM) that supports image and text inputs and generates text outputs. It has multilingual capabilities.

PaliGemma is a versatile lightweight vision-language model (VLM) developed by Google, built on the SigLIP vision model and Gemma language model, supporting both image and text inputs with text outputs.

xGen-MM is the latest foundational large multimodal model series developed by Salesforce AI Research, based on improvements to the BLIP series, featuring powerful image understanding and text generation capabilities.

A multimodal model fine-tuned based on Meta-Llama-3-8B-Instruct and CLIP-ViT-Large-patch14-336, supporting image understanding and text generation

A LLaVA model fine-tuned based on Meta-Llama-3-8B-Instruct and CLIP-ViT-Large-patch14-336, supporting image-text-to-text tasks

Yi-VL-34B is an open-source multimodal model from the Yi series, capable of understanding image content and engaging in multi-turn conversations, with outstanding performance on the MMMU and CMMMU benchmarks.