pith:CDQRCQ33
DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers
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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Claims
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.
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.
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.
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| 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
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· · · · ·Agent API
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Canonical record JSON
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