Tencent-Hunyuan releases GEAR for guided end-to-end image synthesis

Tencent-Hunyuan has introduced GEAR (Guided End-to-End AutoRegression), a method that jointly trains a vector-quantized tokenizer and an autoregressive generator to improve image synthesis. Unlike traditional two-stage approaches, GEAR uses representation alignment to allow the AR model to guide the tokenizer during training.