LLaVA-NeXT
A large-scale multimodal model that processes multiple images, videos, and 3D data.
- Multi image encoding: The model can write code based on multi image learning.
- Multi image and video task conversion: The model can recognize the differences between two videos and write Twitter posts about the videos.
- Real world applications: The model can summarize and retrieve information from multiple images, identify painting styles and different categories, and create image editing prompts.
- Interleaving visual instruction adjustment: Use interleaving format to unify data input for different tasks, covering a variety of challenging real-world tasks.
- Multi frame (video) scene: preserves temporal clues across multiple image sequences by sampling video data into multiple frames.
- Multi view (3D) scene: Representing the 3D environment from different angles through multi view images for 3D perception.
- Single image scene: Using AnyRes design to segment a single image into multiple small blocks, compatible with interleaved formats.
Product Details
LLaVA NeXT is a large multimodal model that processes multiple image, video, 3D, and single image data through a unified interleaved data format, demonstrating joint training capabilities on different visual data modalities. This model achieved leading results in multi image benchmark testing and improved or maintained performance in previous individual tasks through appropriate data mixing in different scenarios.
