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Genesis: A Generative Engine for Hierarchical Satellite Image Synthesis

Paper recorded by Signals 4 on 2026-09-02 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-02 on arXiv · recorded by Signals 4 on 2026-09-03

Category: cs.CV · 计算机视觉 · first seen 2026-09-03

Abstract

Earth observation is fundamentally multi-scale; geospatial tasks span varied resolutions, and satellite imagery is organized into cascading tile pyramids that nest fine detail within wide coverage. Current generative models of satellite imagery, however, operate along a single axis: they either zoom to enhance a single tile's resolution or pan to extend imagery at a fixed scale. As a result, no ex

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#175 most recent of 237 cs.CV papers we have recorded · ↑ newer: GaLe: memory-efficient Global Approximate and Local Exact features · ↓ older: Uncovering Understanding-Generation Synergy in Native Unified Multimod
Cite this page: Genesis: A Generative Engine for Hierarchical Satellite Image Synthesis: the #175 most recent of 237 cs.CV papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/genesis-a-generative-engine-for-hierarchical-satellite-image-synthesis.html
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