LaVIT
The LaVIT repository enhances language models by merging visual comprehension and generation into a cohesive framework. Highlighted at ICLR 2024, it utilizes visual tokenization to transform imagery into digestible data tokens, thus optimizing multimodal interaction. Video-LaVIT extends this capability to handle video content, providing reliable text-to-visual and video translation for diverse AI applications. The release of pre-trained weights on HuggingFace broadens its utility in tasks such as captioning and Q&A, supporting comprehensive multimodal operations within an integrated platform.
