VARGPT-v1.1 builds upon the original
Comparison of different model architectures for visual tasks. VARGPT-v1.1 follows a purely autoregressive multimodal approach, using next-token prediction for comprehension and next-scale prediction for generation.
Current implementations struggle with representation conflicts between understanding and generation tasks. While models like TokenFlow unify tokenization, their visual generation and understanding pipelines remain largely decoupled.
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