KAIST Illuminates the Eyes of Humanoid Robots with Minimal Memory (IMAGE)

The Korea Advanced Institute of Science and Technology (KAIST)

KAIST Illuminates the Eyes of Humanoid Robots with Minimal Memory

Caption

Overview of Upsample Anything. Given a high-resolution image, it is first downsampled to a low-resolution image and then reconstructed through test-time optimization (TTO). During this process, pixel-wise anisotropic kernel parameters are learned. The learned kernels are subsequently applied to low-resolution foundation feature maps to generate high-resolution feature maps. These feature maps are then used to perform pixel-wise anisotropic Joint Bilateral Upsampling, enabling high-quality reconstruction at high resolution.

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KAIST

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