Pith Number

pith:IOYLS5SG

pith:2026:IOYLS5SGOEE2N7EKG2NDU64GWS

not attested not anchored not stored refs resolved

DiffST: Spatiotemporal-Aware Diffusion for Real-World Space-Time Video Super-Resolution

Chunming He, Dehua Song, Jin Han, Ruofan Yang, Yong Guo, Yulun Zhang, Zheng Chen, Zichen Zou

DiffST adapts pre-trained diffusion models for one-step whole-video sampling to lead real-world space-time super-resolution while running 17 times faster.

arxiv:2605.13182 v1 · 2026-05-13 · cs.CV

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3 Author claim open · sign in to claim

4 Citations open

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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

Extensive experiments show that DiffST obtains leading results on real-world STVSR tasks. It also maintains high inference efficiency, running about 17× faster than previous diffusion-based STVSR methods.

C2weakest assumption

That adapting a pre-trained image diffusion model to one-step sampling on entire videos, combined with the proposed CFCA and VRG modules, will preserve or improve quality without introducing artifacts specific to real-world degradations.

C3one line summary

DiffST delivers state-of-the-art real-world space-time video super-resolution with 17x faster inference than prior diffusion methods by using one-step sampling, cross-frame context aggregation, and video representation guidance.

References

65 extracted · 65 resolved · 2 Pith anchors

[1] Towards interpretable video super-resolution via alternating optimization 2022

[2] Basicvsr: The search for essential components in video super-resolution and beyond 2021

[3] Basicvsr++: Improving video super-resolution with enhanced propagation and alignment 2022

[4] Investigating tradeoffs in real-world video super-resolution 2022

[5] Motif: Learning motion trajectories with local implicit neural functions for continuous space-time video super-resolution 2023

Receipt and verification

First computed	2026-05-18T03:08:56.345543Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

43b0b976467109a6fc8a369a3a7b86b489cc151c44f2cfef2de11046ce3e23ca

Aliases

arxiv: 2605.13182 · arxiv_version: 2605.13182v1 · doi: 10.48550/arxiv.2605.13182 · pith_short_12: IOYLS5SGOEE2 · pith_short_16: IOYLS5SGOEE2N7EK · pith_short_8: IOYLS5SG

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/IOYLS5SGOEE2N7EKG2NDU64GWS \
  | 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: 43b0b976467109a6fc8a369a3a7b86b489cc151c44f2cfef2de11046ce3e23ca

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "1062a9489460a1a9f687702a6a080659b47193ce4423797260d6ce0dd4eb237a",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-13T08:41:48Z",
    "title_canon_sha256": "f0141a251e1702a0a7369dbaebce57b12d0f114fac819a0d6706da2f21a4dd78"
  },
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  "source": {
    "id": "2605.13182",
    "kind": "arxiv",
    "version": 1
  }
}