Pith Number

pith:II3PW3AZ

pith:2026:II3PW3AZDLKMWA2YQRCTUNX7UN

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PhysEditBench: A Protocol-Conditioned Benchmark for Dense Physical-Map Prediction with Image Editors

Jiaxin Yang, Muxin Liu, Weixuan Liu, Xiaojuan Qi, Yu Hou, Zeming Chen, Ze Yuan, Zhongrui Wang

General image editors can output physical maps from RGB photos but trail specialized models on depth, normals, and albedo under fixed rules.

arxiv:2605.13493 v1 · 2026-05-13 · cs.CV

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Claims

C1strongest claim

Experimental results show that specialized models remain much stronger on depth, normal, and albedo, and stronger image editors can produce more reasonable map-like outputs. For roughness and metallic, image editors can match or outperform specialized baselines on some scalar metrics, but they still suffer from structural errors, sparsity effects, and sensitivity to lighting.

C2weakest assumption

The fixed protocols fairly represent image editor capabilities without allowing optimal prompting, and the curated datasets from OpenRooms-FF, InteriorVerse, and procedural generation provide accurate ground-truth physical maps.

C3one line summary

PhysEditBench is a protocol-conditioned benchmark evaluating image editors on dense prediction of depth, normal, albedo, roughness, and metallic maps from RGB images using curated data and fixed scoring rules.

References

33 extracted · 33 resolved · 1 Pith anchors

[1] Gwangbin Bae and Andrew J. Davison. Rethinking inductive biases for surface normal estimation. InProceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 2024

[2] Tim Brooks, Aleksander Holynski, and Alexei A. Efros. Instructpix2pix: Learning to follow image editing instructions. InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognitio 2023

[3] Seedream 5.0 lite.https://seed.bytedance.com/en/seedream5_0_lite, 2026 2026

[4] Colorful diffuse intrinsic image decomposition in the wild.ACM Transactions on Graphics, 43(6), 2024 2024 · doi:10.1145/3687984

[5] Intrinsicanything: Learning diffusion priors for inverse rendering under unknown illumination 2024

Receipt and verification

First computed	2026-05-18T02:44:41.134543Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

4236fb6c191ad4cb035884453a36ffa356cb483087e03acea8eab162cafe64ac

Aliases

arxiv: 2605.13493 · arxiv_version: 2605.13493v1 · doi: 10.48550/arxiv.2605.13493 · pith_short_12: II3PW3AZDLKM · pith_short_16: II3PW3AZDLKMWA2Y · pith_short_8: II3PW3AZ

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/II3PW3AZDLKMWA2YQRCTUNX7UN \
  | 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: 4236fb6c191ad4cb035884453a36ffa356cb483087e03acea8eab162cafe64ac

Canonical record JSON

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    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-13T13:17:04Z",
    "title_canon_sha256": "b8c7c4db4c64cfd8c465b989afccb5e73fb219c635c83d4e66a66c89896d38ca"
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