Image Upsampling To Original Resolution With Bilinear Interpolation

via “image-upsampling-to-original-resolution-with-bilinear-interpolation”

image-segmentation model by undefined. 1,02,847 downloads.

Unique: Implements standard bilinear interpolation for upsampling, which is computationally efficient but introduces boundary artifacts. The model's design assumes 512×512 output is sufficient for most applications; full-resolution upsampling is a post-processing step rather than a learned component, reflecting the architectural choice to prioritize inference speed over boundary precision.

vs others: Bilinear upsampling is 10x faster than learned upsampling (e.g., transposed convolutions) but produces 5-10% lower boundary accuracy; suitable for applications prioritizing speed over pixel-perfect boundaries.