Multimodal modeling aims to understand and generate content across visual and textual formats, integrating image recognition and generation into a unified system to enhance interactions.
BLIP3-o, developed by Salesforce Research in collaboration with academic institutions, introduces a family of unified multimodal models using CLIP embeddings and a sequential training approach for image understanding and generation.
The model leverages CLIP embeddings and a diffusion transformer for image synthesis, employing a dual-stage training strategy that enhances alignment and visual fidelity.
BLIP3-o outperforms in various benchmarks, achieving top scores in image generation alignment, reasoning ability, and image understanding, showcasing its superiority in subjective quality assessments.