VisionLLM is a series of models that use large language models as open-ended decoders for vision-centric tasks. VisionLLM v2 extends this to a generalist multimodal LLM supporting hundreds of vision-language tasks, covering visual understanding, perception, and generation. It was published at NeurIPS 2023 and 2024.