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Seeing it All: LLaVA-UHD Perceives High-Resolution Images at Any Aspect Ratio
Large language models like GPT-4 are powerful but sometimes struggle with basic visual tasks. A new method called LLaVA-UHD can help.
Practical Solution
LLaVA-UHD intelligently splits large images into smaller, variable-sized “slices” to handle high-resolution images at any aspect ratio. It outperforms standard models using less computing power and achieves a 6.4 point accuracy boost in OCR capabilities.
Value
By preserving fine visual details in native high resolutions, LLaVA-UHD enables language models to better understand images, leading to a performance leap in various multimodal benchmarks.
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