Pith Number

pith:TQMXCD6G

pith:2026:TQMXCD6GUNQC3IYFI4N6GCXFPD

not attested not anchored not stored refs pending

Causal Disentanglement-Inspired Degradation Representation Learning for Full-Reference Image Quality Assessment

Fengmao Lv, Jielei Chu, Lin Ma, Tianrui Li, Tian Zhang, Weide Liu, Yuming Fang, Zhen Zhang

Causal disentanglement separates image content from distortions to enable accurate full-reference quality assessment even without labels.

arxiv:2604.21654 v3 · 2026-04-23 · cs.CV · cs.AI

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\usepackage{pith}
\pithnumber{TQMXCD6GUNQC3IYFI4N6GCXFPD}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

our method achieves highly competitive performance on standard IQA benchmarks across fully supervised, few-label, and label-free settings. Furthermore, we evaluate the approach on diverse non-standard natural image domains with scarce data... superior cross-domain generalization compared to existing training-free FR-IQA models.

C2weakest assumption

degradation estimation can be formulated as a causal disentanglement process guided by intervention on latent representations, with content invariance between reference and distorted images allowing effective decoupling of degradation and content representations.

C3one line summary

Causal disentanglement decouples content and degradation representations via intervention on latents and a content-masking module to predict quality scores from degradation features, achieving strong benchmark performance and cross-domain generalization without labels.

Receipt and verification

First computed	2026-05-29T01:05:10.395278Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9c19710fc6a3602da305471be30ae578f778fe54717a3fce8d533da8f92262b5

Aliases

arxiv: 2604.21654 · arxiv_version: 2604.21654v3 · doi: 10.48550/arxiv.2604.21654 · pith_short_12: TQMXCD6GUNQC · pith_short_16: TQMXCD6GUNQC3IYF · pith_short_8: TQMXCD6G

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/TQMXCD6GUNQC3IYFI4N6GCXFPD \
  | 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: 9c19710fc6a3602da305471be30ae578f778fe54717a3fce8d533da8f92262b5

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "1058b2ce1a5017c073281e71bf9b2e50297524121ffb1f05f80d3262931cf62c",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-23T13:18:13Z",
    "title_canon_sha256": "1767d79b3191510abed4a7fb8027fa5e5f2bcd305716556d80e2579efe525abc"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.21654",
    "kind": "arxiv",
    "version": 3
  }
}