#影像修復

Live, measured metrics for the hashtag #影像修復 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

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$2,449.80/ year · 4-character #name
Claim #影像修復$2,449.80/yrBuy on hashtag.space (web3)
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-08-26 00:49 UTC
0
08-20
0
08-21
0
08-22
0
08-23
0
08-24
0
08-25
0
08-26

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-08-26 00:49 UTC

No related tags with measured usage found for #影像修復.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-08-26 00:49 UTC

Everything below is measured over the latest 4 public posts (spanning ~5932 hours).

Top of the latest posts

  • 🌗 1945 年「三位一體」核試驗失落影像之修復與重現 ➤ 透過 20 年的影像修復,解密人類首次核爆的震懾瞬間 ✤ https://spectrum.ieee.org/trinity-nuclear-test 1945 年 7 月 16 日清晨,人類正式踏入核子時代。艾米莉·賽爾(Emily Seyl)在其新著《三位一體:世界首次原子彈試驗圖解歷史》中,公開了長達 20 年修復計畫的成果,展示了曼哈頓計畫中震撼人心的原始照片與影像紀錄。這些珍貴影像捕捉了「小玩意」(The

    GripNews@GripNews002026-05-21 13:19 UTCView post →
  • 🌗 GitHub - deng-ai-lab/SFHformer:當快速傅立葉變換遇上 Transformer 進行影像修復 (ECCV 2024) ➤ 融合空間與頻率資訊的通用影像修復新範式 ✤ https://github.com/deng-ai-lab/SFHformer 本文介紹了入選 ECCV 2024 的創新影像修復框架 SFHformer。研究團隊透過分析多種影像退化現象,認為單一架構難以應對多樣化的修復任務。因此,他們開發出一種結合「快速傅立葉變換(FFT)

    GripNews@GripNews002026-05-20 15:18 UTCView post →
  • 🌘 六十年後,經重新處理的「雙子星號」影像揭示驚人細節 ➤ 重返歷史的視角:復刻太空先驅的冒險紀實 ✤ https://arstechnica.com/space/2025/09/60-years-after-gemini-newly-processed-images-reveal-incredible-details/ 作者透過訪問攝影師 Andy Saunders,介紹了他如何透過修復與研究,重新呈現了美國「水星計畫」與「雙子星計畫」時期拍攝的珍貴歷史影像。這些經過精心

    GripNews@GripNews002025-09-18 11:18 UTCView post →

#影像修復 across platforms

every network with a public tag surface

Follow #影像修復 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/影像修復