Web: https://syncedreview.com/2022/05/05/tsinghua-u-baais-cogview2-achieves-sota-competitive-text-to-image-generation-with-10x-speedups/

May 5, 2022, 3:48 p.m. | Synced

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In the new paper CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers, Tsinghua University and the Beijing Academy of Artificial Intelligence researchers pretrain a Cross-Modal general Language Model (CogLM) for text and image token prediction and finetune it for fast super-resolution. The resulting CogView2 hierarchical text-to-image system achieves significant speedups while generating images with better quality at comparable resolutions.

The post Tsinghua U & BAAI’s CogView2 Achieves SOTA Competitive Text-to-Image Generation With 10x Speedups first appeared on Synced.

ai artificial intelligence deep-neural-networks image image generation machine learning machine learning & data science ml research sota technology text text-to-image transformers

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