Figure 2. Language models struggle to accurately represent spa-
tial information, leading to coarse and imprecise image super-
resolution. To overcome this limitation, we incorporate additional
spatialmodalitieslikedepthmapsandsemanticsegmentationmaps.
These modalities provide detailed spatial context, allowing our
model to implicitly align language descriptions with individual pix-
els through a transformer network. This enriched understanding of
theimagesignificantlyenhancestherealismofoursuper-resolution
results and minimizes distortion.