The paper identifies a gap in effectively generating

The gap

Evidence profile

Sourced from the stated research gap and future-work section and limitations section of the source papers, classified as general, spanning 3 journals. Those papers have been cited 1 times in total.

Supporting evidence — 5 representative gaps

• From satellite to street: a hybrid framework integrating stable diffusion and PanoGAN for consistent cross–view synthesis (2026) · GeoInformatica · cited 1× · doi

  The substantial gap between aerial and ground-level perspectives is identified as a challenge in satellite-to-street-view synthesis. The lack of geometric and semantic consistency between satellite imagery and generated street-view images is identified as a limitation of prior work.

  generalstated research gapevidence 5/5
  Keywords: substantial gap between aerial ground-level perspectives identified challenge
• Cross-View Splatter: Feed-Forward View Synthesis with Georeferenced Images (2026) · arXiv

  The gap in the literature is the limitation of prior methods to handle outdoor scenes due to their reliance on ground level perspective imagery. The gap is addressed by incorporating satellite views into the 3D reconstruction process.

  generalstated research gapevidence 5/5
  Keywords: gap literature limitation prior methods handle outdoor scenes
• Cross-View Splatter: Feed-Forward View Synthesis with Georeferenced Images (2026) · arXiv

  Future research can focus on improving the accuracy of satellite imagery and terrain height data. Future research can explore the application of Cross-View Splatter to other domains, such as indoor scenes or dynamic environments.

  generalfuture-work sectionevidence 5/5
  Keywords: future research focus improving accuracy satellite imagery terrain
• Cross-View Splatter: Feed-Forward View Synthesis with Georeferenced Images (2026) · arXiv

  The method requires access to satellite imagery and terrain height data, which may be limited by licensing restrictions. The evaluation is limited to a new benchmark for novel-view synthesis with geolocalized outdoor images. The method may not perform well in cases where the satellite imagery is inaccurate or noisy.

  generallimitations sectionevidence 5/5
  Keywords: method requires access satellite imagery terrain height data
• CrossViewDiff : A cross-view diffusion model for satellite-to-street view synthesis (2026) · Pattern Recognition · doi

  The paper identifies a gap in effectively generating realistic street-view images from satellite images. The gap is due to the significant differences in viewpoints and imaging methods between satellite and street-view images.

  generalstated research gapevidence 5/5
  Keywords: paper identifies gap effectively generating realistic street-view images

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