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By leveraging the complementary strengths of shallow and deep VFM features, Ideal dramatically enhances image reconstruction quality and sets new benchmarks in autoregressive image generation.
Reinforcement learning boosts multimodal performance, raising task scores and creating unexpected synergies between image generation and editing.
OmniGen-AR can seamlessly generate images from a wide array of conditions, outperforming existing methods that are limited to single-modality inputs.
Achieve real-time streaming video understanding with 70% less latency and 35% less memory using a training-free adaptive compression technique.
