KAIST Illuminates the Eyes of Humanoid Robots with Minimal Memory (IMAGE)
Caption
Comparison image illustrating the performance gap with conventional methods (AI-generated). Conventional vision foundation models understand a scene by converting the input image into low-resolution features at a small patch level (left). Upsample Anything restores these low-resolution features to the original resolution level, enabling the AI to comprehend the scene's structure and boundaries with significantly higher precision (right).
Credit
KAIST
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