Landslide Retrieval and Reranking for Controllable Diffusion Generation of Post-Disaster UAV Imagery
Yiyang Ma1, Han Hu1,*, Guozhong Lin1, Lin Chen2, Junfan Wang1, Yulin Ding1, Yang Jia3, Bo Xiang3, Jiwei Deng4, Qing Zhu1
1 Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China · 2 POWERCHINA Chengdu Engineering Corporation Limited, Chengdu, China · 3 Sichuan Highway Planning, Survey, Design and Research Institute Ltd., Chengdu 610041, China · 4 China Railway Design Corporation, Tianjin 300251, China
LRRGen combines Qwen-VL-based two-stage reference image retrieval with Guided KV Sampling to transfer
fine-grained texture characteristics from retrieved references while preserving the spatial layout
constrained by semantic masks.
Visual Style Taxonomy for Landslide Imagery
The final taxonomy comprises seven attribute dimensions: landslide color, texture, and morphology,
together with road material, geometry, surface condition, and visibility.
72 / 684 terms
Scroll to zoom · Drag to pan · Fit to reset · Terms follow source order; branch sizes do not represent frequency.
Annotation vocabulary 684
roadRoad30 terms
Materials10
Conditions11
Geometry9
landslideColor53 terms · approx. swatches
black5
grey13
brown3
ochre12
earth3
light12
dark2
faded3
landslideTexture601 terms · 42/42 groups
exposed88
scattered53
crumbling45
scoured38
loose37
chaotic35
granular32
uneven28
jagged23
rough22
fractured21
raw18
finecoarse17
unstable16
slump14
disturbed13
churned12
eroded12
fragmented7
angular7
debris6
rubble5
boulders5
displaced5
shattered4
uprooted4
smoothbare4
dust3
moisture3
crushed3
rock3
sediment3
broken2
gravel2
textured2
layered2
mottled2
cracked1
scarred1
soil1
flow1
weathered1
road 30color 53texture 601Click a term to copy · Ctrl/⌘ + click facets to intersect
Comparative Evaluation
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Visual Style Controllability
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Analysis of Semantic Control
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Generalization Analysis on Unseen Regions
Unseen-Region Comparison
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Additional Unseen Regions
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BibTeX
@misc{ma2026lrrgen,
title = {Landslide Retrieval and Reranking for Controllable Diffusion Generation of Post-Disaster {UAV} Imagery},
author = {Ma, Yiyang and Hu, Han and Lin, Guozhong and Chen, Lin and Wang, Junfan and Ding, Yulin and Jia, Yang and Xiang, Bo and Deng, Jiwei and Zhu, Qing},
note = {Preprint},
year = {2026}
}
Acknowledgements
This study was supported in part by the National Natural Science Foundation of China (Project No. U25A20772) and the Natural Science Foundation of Sichuan Province under Grant 2026NSFSCZY0054.