---
title: "CrossRefine: A Microservice for Cross-Domain Spatial Super-Resolution"
authors:
  - "Daniil Sukhorukov"
  - "Andrei Zakharov"
  - "Ilya Makarov"
doi: "10.24963/ijcai.2026/996"
url: "https://ijcai.org/proceedings/2026/996"
pdf: "https://ijcai.org/proceedings/2026/0996.pdf"
venue: "Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence"
year: 2026
pages: "8530-8533"
track: "Demo Track"
keywords:
  - "AI: Multidisciplinary Topics and Applications"
  - "AI: Computer Vision"
---

# CrossRefine: A Microservice for Cross-Domain Spatial Super-Resolution

Daniil Sukhorukov, Andrei Zakharov, Ilya Makarov

*Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence*, pages 8530-8533. DOI: [10.24963/ijcai.2026/996](https://doi.org/10.24963/ijcai.2026/996)

## Abstract

High-resolution spatial fields are critical for local decision-making, yet many operational and scientific workflows produce coarse outputs due to computational limits. We present CrossRefine, a deployable microservice for cross-domain spatial super-resolution that enhances multi-channel spatial tiles without modifying upstream models. It is built around a unified, topography-conditioned adversarial UNet trained across geographically diverse regions to ensure robustness to heterogeneous terrains and domain shifts. Unlike region-specific enhancement models, the system generalizes across domains within a single architecture, balancing numerical fidelity and structural realism through a hybrid regression–adversarial objective. The service provides REST API endpoints for batch and streaming inference, supports mixed-precision, and offers per-tile diagnostics and confidence maps to promote safe deployment.
In our demo, we show interactive refinement of coarse spatial inputs, side-by-side comparison with interpolation and non-adversarial baselines, and real-time profiling of latency and throughput on commodity hardware. CrossRefine illustrates how spatial super-resolution can be delivered as a practical AI microservice, enabling scalable refinement of existing computational workflows without requiring higher-resolution upstream simulations.

Demonstration video: https://shorturl.at/lz2un