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pith:CDQRCQ33

pith:2026:CDQRCQ33KF6XF7PQWYRKJHFXYF
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DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers

Hesham Mostafa, Mahsa Salmani, Sayeh Sharify

DiRotQ rotates activations into a PCA-derived basis to protect dominant variance directions during 4-bit quantization of diffusion transformers.

arxiv:2605.16732 v1 · 2026-05-16 · cs.CV · cs.LG

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\pithnumber{CDQRCQ33KF6XF7PQWYRKJHFXYF}

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4 Citations open
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Claims

C1strongest claim

DiRotQ achieves an FID of 15.9 and PSNR of 19.1 dB on PixArt-Σ over the MJHQ-30K dataset, outperforming the prior state-of-the-art SVDQuant (FID 18.9, PSNR 17.6) under the same INT W4A4 setting.

C2weakest assumption

That a low-rank subspace identified via PCA on calibration data captures the dominant activation variance sufficiently to allow safe 4-bit quantization of the remaining components, with the rotation and fusion preserving overall model behavior.

C3one line summary

DiRotQ uses PCA-based rotation-aware activation quantization combined with GPTQ to achieve better FID and PSNR in 4-bit diffusion transformers than prior methods like SVDQuant.

References

88 extracted · 88 resolved · 16 Pith anchors

[1] QuaRot: Outlier-free 4-bit inference in rotated LLMs 2024
[2] Blended diffusion for text-driven editing of natural images 2022
[3] eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers 2022 · arXiv:2211.01324
[4] All are worth words: A ViT backbone for diffusion models 2023
[5] Token Merging: Your ViT But Faster 2022 · arXiv:2210.09461

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Receipt and verification
First computed 2026-05-20T00:02:38.876958Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

10e111437b517d72fdf0b622a49cb7c15baf9c2ebc989483950a99434a7ab821

Aliases

arxiv: 2605.16732 · arxiv_version: 2605.16732v1 · doi: 10.48550/arxiv.2605.16732 · pith_short_12: CDQRCQ33KF6X · pith_short_16: CDQRCQ33KF6XF7PQ · pith_short_8: CDQRCQ33
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CDQRCQ33KF6XF7PQWYRKJHFXYF \
  | 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: 10e111437b517d72fdf0b622a49cb7c15baf9c2ebc989483950a99434a7ab821
Canonical record JSON
{
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    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-16T00:52:00Z",
    "title_canon_sha256": "a2b476cfaaa63abd6d351caba3f63d3e8f609d1f6bc91b9c028d1819592afa2d"
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