MIG-Net: Multi-Scale Network Alternatively Guided by Intensity and Gradient Features for Depth Map Super-Resolution
Summary
MIG-Net: Multi-Scale Network Alternatively Guided by Intensity and Gradient Features for Depth Map Super-Resolution is a scholarly article[1].
Key Facts
MIG-Net: Multi-Scale Network Alternatively Guided by Intensity and Gradient Features for Depth Map Super-Resolution's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). MIG-Net: Multi-Scale Network Alternatively Guided by Intensity and Gradient Features for Depth Map Super-Resolution. Retrieved May 24, 2026, from https://4ort.xyz/entity/mig-net-multi-scale-network-alternatively-guided-by-intensity-and-gradient-features-for-depth-map-super-resolution
MLA“MIG-Net: Multi-Scale Network Alternatively Guided by Intensity and Gradient Features for Depth Map Super-Resolution.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mig-net-multi-scale-network-alternatively-guided-by-intensity-and-gradient-features-for-depth-map-super-resolution.
BibTeX@misc{4ortxyz_mig-net-multi-scale-network-alternatively-guided-by-intensity-and-gradient-features-for-depth-map-super-resolution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MIG-Net: Multi-Scale Network Alternatively Guided by Intensity and Gradient Features for Depth Map Super-Resolution}}, year = {2026}, url = {https://4ort.xyz/entity/mig-net-multi-scale-network-alternatively-guided-by-intensity-and-gradient-features-for-depth-map-super-resolution}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MIG-Net: Multi-Scale Network Alternatively Guided by Intensity and Gradient Features for Depth Map Super-Resolution — https://4ort.xyz/entity/mig-net-multi-scale-network-alternatively-guided-by-intensity-and-gradient-features-for-depth-map-super-resolution (retrieved 2026-05-24)
