modalitydance/ar-omni

AR-Omni is a unified autoregressive model that generates text, images, and speech using a single decoder and token stream, designed for researchers and developers working on multimodal AI systems. It addresses modality imbalance through task-aware loss reweighting, improves visual fidelity with token-level perceptual alignment, and offers stability-creativity trade-offs via finite-state decoding strategies.