Researchers from HKUST and Kuaishou have developed EvoSearch, an evolutionary search technology that enables smaller AI models to outperform larger ones in art generation. The breakthrough challenges the industry's reliance on massive models and computing power.
NVIDIA and The University of Hong Kong have developed GSPN, a revolutionary visual attention mechanism that accelerates high-resolution image generation by over 84 times while preserving spatial coherence, setting new benchmarks in computer vision.
Tencent Hunchun, in collaboration with leading research institutions, has released the world's first multimodal unified CoT reward model. This breakthrough enables advanced reasoning in visual tasks and has been open-sourced to accelerate AI development.
Researchers have developed Flow-GRPO, a breakthrough method that enhances image generation models using reinforcement learning. The technique improves accuracy in complex tasks like object arrangement and text rendering while maintaining image quality. The approach could soon expand to video generation.
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