Unverified50% confidenceFactExact time
Most vision-language models compress images to a fixed resolution (such as 448×448 or higher) when processing them.
1
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50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
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Related Claims
UnverifiedThe Transformer's context window is limited, and after visual information is compressed by the encoder, a large amount of low-level pixel detail is inevitably lost; a 1024×1024 image may be compressed into 256 or 576 visual tokens.76% similarVerifiedMultimodal large models split images into fixed patches, convert them into high-dimensional vectors via a visual encoder (based on the ViT architecture), and align them to the language model's token embedding space—this is inference, not reading.73% similarUnverifiedQwen2-VL引入的"Naive Dynamic Resolution"机制可以将不同尺寸的图像映射为不同数量的视觉token，而非强制缩放到固定分辨率70% similar
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