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Orca's unified world latent space enables superior performance in diverse tasks, outperforming specialized models with a single framework.
Integrating real images into the GRPO process and using dual-reward guidance allows PortraitGen to achieve unprecedented levels of photorealism while effectively suppressing AI artifacts.
WATER-S is a game-changing dataset that boosts WordArt recognition capabilities by hundreds of times, enabling unprecedented accuracy in complex text layouts.
WeGenBench exposes the hidden deficiencies of text-to-image models, revealing that many leading systems struggle with specific generation tasks despite overall high performance.
Finally, a unified framework lets you control both facial appearance and voice timbre for personalized audio-video generation across multiple identities.
LLM agents can now leverage a unified memory framework that dynamically adapts to different question types, enabling more coherent and user-centric long-horizon dialogues.
Cycle consistency unlocks SOTA cross-view object correspondence in videos without ground-truth annotations, even enabling test-time training.
