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Found 3 papers, 3 papers with code
Assessing the Performance of Online Students -- New Data, New Approaches, Improved Accuracy
This student performance (SP) modeling problem is a critical step for building adaptive online teaching systems.
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
We present an algorithm addressing this problem, PULSE (Photo Upsampling via Latent Space Exploration), which generates high-resolution, realistic images at resolutions previously unseen in the literature.
Ranked #10 on
Image Super-Resolution
on FFHQ 256 x 256 - 4x upscaling
(PSNR metric)
New Techniques for Preserving Global Structure and Denoising with Low Information Loss in Single-Image Super-Resolution
This work identifies and addresses two important technical challenges in single-image super-resolution: (1) how to upsample an image without magnifying noise and (2) how to preserve large scale structure when upsampling.
