The MiMo Embodied Model (MiMo-Embodied) is a powerful cross-embodied vision-language model that has demonstrated excellent performance in both autonomous driving and embodied AI tasks. It is the first open-source vision-language model that combines these two key domains, significantly enhancing the understanding and reasoning abilities in dynamic physical environments.

MultimodalTransformers

Cosmos-Predict2.5 is a high-performance pre-trained world foundation model suite developed by NVIDIA specifically for physical AI. Based on diffusion model technology, it can generate high-quality images and videos with physical awareness based on text, image, or video input, providing world simulation capabilities for applications such as autonomous driving and robotics.

MultimodalDiffusers

Cosmos-Reason1 is a physical artificial intelligence model developed by NVIDIA. It has the ability to understand physical common sense and can generate embodied decisions through long-chain thinking reasoning. This model supports multimodal input (text + video/image) and outputs text, which is suitable for physical AI fields such as robotics and autonomous driving.

MultimodalTransformersEnglish

Cosmos-Reason1 is a physics AI model developed by NVIDIA, capable of understanding physical common sense and generating embodied decision-making natural language through long-chain reasoning.

MultimodalTransformersEnglish

LegoGPT is the first AI system that generates physically stable LEGO brick models from text prompts, fine-tuned based on Llama-3.2-1B-Instruct.

Natural Language ProcessingSafetensorsEnglish

Cosmos-Predict2 is a high-performance pre-trained world foundation model designed for physical AI development, capable of generating physics-aware images, videos, and world states.

MultimodalDiffusers

Cosmos-Predict2 is a series of high-performance pre-trained world foundation models designed for physical AI to generate physics-aware images, videos, and world states.

MultimodalDiffusers

Cosmos-Reason1 is a physical AI model developed by NVIDIA, capable of understanding physical common sense and generating embodied decisions through long-chain reasoning.

MultimodalTransformersEnglish

VideoPhy2 is a model focused on video physical commonsense understanding, aiming to comprehend and analyze physical phenomena through video content.

MultimodalPytorch