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ByteDance Research introduces Lance, a 3B-parameter unified multimodal model trained from scratch on 128 A100 GPUs, capable of image and video understanding, generation, and editing within a single framework.
Tuna-2 is a unified multimodal model that achieves state-of-the-art performance by processing visual understanding and generation directly from pixel embeddings, eliminating the need for pretrained vision encoders.
LLaDA2.0-Uni unifies multimodal understanding and generation within a single diffusion-based large language model architecture.
UniCorn is a framework that enables unified multimodal models to self-improve by using a multi-agent system for prompt generation, image creation, and quality evaluation, achieving state-of-the-art results on text-to-image benchmarks like TIIF, WISE, and OneIG-EN.