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pith:CVU55D7W

pith:2026:CVU55D7WJ3K6NS327X7AG2GTHS
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Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion

Amirhosein Javadi, Shirin Saeedi Bidokhti, Tara Javidi

Sparse adaptive keyframes and tracked trajectories let a conditional diffusion model reconstruct video at much lower bitrates while keeping perceptual quality high.

arxiv:2605.02849 v2 · 2026-05-04 · cs.CV

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Claims

C1strongest claim

Experiments on the UVG and MCL-JCV benchmarks show that ActDiff-VC achieves up to 64.6% bitrate reduction at matched NIQE, improves KID by up to 64.6% and FID by up to 37.7% at comparable bitrates against strong learned codecs, and delivers favorable perceptual rate--distortion trade-offs relative to learned and diffusion-based baselines in the ultra-low-bitrate regime.

C2weakest assumption

The assumption that sparse conditioning signals consisting of content-adaptive keyframes and budget-aware tracked point trajectories are sufficient for a conditional diffusion decoder to synthesize perceptually realistic and temporally coherent video frames without introducing major artifacts or inconsistencies.

C3one line summary

ActDiff-VC achieves up to 64.6% bitrate reduction at matched NIQE and improves perceptual metrics like KID and FID by using content-adaptive keyframe selection and budget-aware sparse trajectory selection to condition a diffusion decoder for ultra-low-bitrate video reconstruction.

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Receipt and verification
First computed 2026-06-11T01:09:36.791206Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

1569de8ff64ed5e6cb7afdfe0368d33c9de437a1fe482a1e22e1f963dcc1f5d5

Aliases

arxiv: 2605.02849 · arxiv_version: 2605.02849v2 · doi: 10.48550/arxiv.2605.02849 · pith_short_12: CVU55D7WJ3K6 · pith_short_16: CVU55D7WJ3K6NS32 · pith_short_8: CVU55D7W
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/CVU55D7WJ3K6NS327X7AG2GTHS \
  | jq -c '.canonical_record' \
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Canonical record JSON
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