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pith:JHDACAOS

pith:2025:JHDACAOS6YMZOUH4VHFY6RCL74
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CPAM: Context-Preserving Adaptive Manipulation for Zero-Shot Real Image Editing

Dinh-Khoi Vo, Minh-Triet Tran, Tam V. Nguyen, Thanh-Toan Do, Trung-Nghia Le

CPAM adjusts self-attention in diffusion models to edit real images by text while preserving object identities and undistorted backgrounds.

arxiv:2506.18438 v3 · 2025-06-23 · cs.CV

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3 Author claim open · sign in to claim
4 Citations open
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Claims

C1strongest claim

CPAM is a novel zero-shot framework for complicated, non-rigid real image editing that preserves objects' shapes, textures, and identities while keeping the background undistorted during the editing process using the mask guidance technique, and is the preferred choice among human raters on the IMBA benchmark.

C2weakest assumption

The assumption that adjusting self-attention mechanisms via a preservation adaptation module combined with mask guidance can independently control object and background regions without fine-tuning or causing interference in cross-attention, as stated in the abstract description of the modules.

C3one line summary

CPAM proposes a context-preserving adaptive manipulation method for zero-shot real image editing in diffusion models via preservation adaptation and localized extraction modules, outperforming prior techniques on a new IMBA benchmark.

Receipt and verification
First computed 2026-06-12T01:09:09.820251Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

49c60101d2f6199750fca9cb8f444bff33ebc1c0c4846ea4e954b53aa80694b8

Aliases

arxiv: 2506.18438 · arxiv_version: 2506.18438v3 · doi: 10.48550/arxiv.2506.18438 · pith_short_12: JHDACAOS6YMZ · pith_short_16: JHDACAOS6YMZOUH4 · pith_short_8: JHDACAOS
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JHDACAOS6YMZOUH4VHFY6RCL74 \
  | 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: 49c60101d2f6199750fca9cb8f444bff33ebc1c0c4846ea4e954b53aa80694b8
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-06-23T09:19:38Z",
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