Pith Number

pith:4RN5I4NB

pith:2026:4RN5I4NBRJBR27SI3R4KSS2W2S

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D2-CDIG: Controlled Diffusion Remote Sensing Image Generation with Dual Priors of DEM and Cloud-Fog

Kanyaphakphachsorn Pharksuwan, Maocai Ning, Su Luo, Xiaoyu Li, Ying Liu, Zuopeng Zhao

D2-CDIG uses dual DEM and cloud-fog priors in diffusion models to control terrain and atmospheric features in remote sensing images.

arxiv:2605.14326 v1 · 2026-05-14 · cs.CV

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Claims

C1strongest claim

D2-CDIG precisely controls ground features and atmospheric phenomena within the generated images by incorporating both DEM and cloud-fog information as dual prior knowledge, showing significant improvements in image quality, detail richness, and realism compared to traditional methods based on segmentation or edge detection.

C2weakest assumption

That independent control of ground and atmospheric branches with layered injection of DEM and cloud-fog signals will produce seamless, artifact-free images without requiring post-hoc adjustments or introducing inconsistencies between terrain and atmosphere.

C3one line summary

D2-CDIG conditions diffusion models on DEM and cloud-fog priors to generate controlled remote sensing images with decoupled terrain and atmospheric control.

References

45 extracted · 45 resolved · 0 Pith anchors

[1] Ambient diffusion: Learning clean distributions from corrupted data, 2023

[2] On creating benchmark dataset for aerial image interpre- tation: Reviews, guidances, and million-aid, 2021

[3] Crs-diff: Controllable remote sensing image generation with diffusion model, 2024

[4] Bird’s-eye view: Remote sensing insights into the impact of mowing events on eurasian curlew habitat selection, 2025

[5] Spatiotemporal variation in land use land cover in the response to local climate change using multispectral remote sensing data, 2022

Receipt and verification

First computed	2026-05-17T23:39:09.772289Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e45bd471a18a431d7e48dc78a94b56d4a5e147683cb082743bade47c2fdd9de2

Aliases

arxiv: 2605.14326 · arxiv_version: 2605.14326v1 · doi: 10.48550/arxiv.2605.14326 · pith_short_12: 4RN5I4NBRJBR · pith_short_16: 4RN5I4NBRJBR27SI · pith_short_8: 4RN5I4NB

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/4RN5I4NBRJBR27SI3R4KSS2W2S \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: e45bd471a18a431d7e48dc78a94b56d4a5e147683cb082743bade47c2fdd9de2

Canonical record JSON

{
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    "abstract_canon_sha256": "4fec2868b0235ae24e8467187ee8fce08a84bbd75ff20d1ceabfcad616479db5",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-14T03:41:46Z",
    "title_canon_sha256": "e4a50f54cd410e2b2b4506f28a6e9cc3ec92a1a0d81ac549171a2a1bbde5746c"
  },
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  "source": {
    "id": "2605.14326",
    "kind": "arxiv",
    "version": 1
  }
}