Core Concepts
VisionLLaMA introduces a unified vision transformer architecture tailored for image tasks, outperforming previous models in various downstream tasks.
Stats
Large language models are built on top of a transformer-based architecture to process textual inputs.
VisionLLaMA significantly outperforms the widespread and carefully fine-tuned vision transformer by clear margins across many representative tasks such as image generation, classification, semantic segmentation, and object detection.
Quotes
"VisionLLaMA can serve as a strong new baseline model for vision generation and understanding."