Очень интересная нейронка Lama Cleaner. Позволяет удалять, добавлять и заменять любые объекты на фото. Круто справляется с клинапом даже на больших фотографиях. https://youtu.be/ddLZzIhE6Qg
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Channel
@mattepaintingfeed
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
1,570subscribers
-4 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001153566047 |
|---|---|
| Type | Channel |
| Username | @mattepaintingfeed |
| Created | Between 1 March 2018 and 28 October 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/mattepaintingfeed |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 09:57 | 1,570 | +1 |
| 10 Aug 2026, 02:23 | 1,569 | -4 |
| 6 Aug 2026, 15:40 | 1,573 | -1 |
| 6 Aug 2026, 07:33 | 1,574 | no change |
| 6 Aug 2026, 04:17 | 1,574 | first reading |
19 posts held, back to 28 October 2020 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 27 January 2023. An engagement rate over an empty window would be a number about nothing.
Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
56 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 76.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 43 | 76.8% | |
| 🔥 | 6 | 10.7% | |
| ❤ | 5 | 8.93% | |
| 🤩 | 2 | 3.57% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 10 of the 19 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 56reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 28 October 2020 to 27 January 2023, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Очень интересная нейронка Lama Cleaner. Позволяет удалять, добавлять и заменять любые объекты на фото. Круто справляется с клинапом даже на больших фотографиях. https://youtu.be/ddLZzIhE6Qg
👍13🤩2❤1
Matte Painting Feed pinned Deleted message
Matte Painting Feed pinned Deleted message
The Gilded Age | VFX Breakdown | DNEG https://youtu.be/UtKzkzH10-A
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1800+ Free Skies at 2k resolution Guys from MattePaint.com have put together a PureRef library containing their entire backplate sky library at 2000px resolution and are completely free to use. If you required a higher resolution, you can find each image on the MattePaint Library at up to 16,000px. Each image is generated from 50k HDRI's and covers exactly 120 degree FOV. #ref Watch Demo (youtube) Download The Libr…
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The Irregulars - VFX Breakdown by BlueBolt https://youtu.be/QoOOioUbvuI
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Роджер Дикинс — легендарный британский оператор-постановщик, лауреат Оскара, Bafta и прочих наград. Он работал над такими картинами, как “Побег из Шоушенка”, “Старикам тут не место” и “Бегущий по лезвию 2049”. Почитайте про него, очень крутой мужик. Так вот, несмотря на возраст (ему 72 года), он ведет сайт, на котором очень подробно разбирает схемы освещения некоторых сложных сцен в своих фильмах. Сайт требует регис…
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Ищем мэттпеинтеров и концепт-художников Студия HBS ищет мэтт пеинтеров и концепт-художников для удаленной работы. Мы предоставляем возможность поработать над фильмами и рекламой, получить полезный опыт и достойную оплату вашей работы. Время от времени у нас появляется объем работы, который не получается закрыть своими силами. В таких случаях мы прибегаем к помощи фрилансеров. Оставив свой отклик на эту вакансию, вы …
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QuickTexture blender add-on is out This add-on allows you to texture, project decals on your models without a need to open material nodes. Add-on set-up all of it automatically for you and let you texture your scenes directly in a 3D viewport. It pretty much feels like photobashing, but in 3D. https://youtu.be/wInFHIPdrxM
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Matte Painting Feed pinned Deleted message
Shadow and Bone | VFX Breakdown | DNEG https://youtu.be/A7tTxOmYnpM
Это какая-то чертова магия, по крайней мере, выглядит так. В самом деле это плагин для блендера, который позволяет рисовать и редактировать флоумапы на лету. К слову, он совсем бесплатный, я про аддон) https://gumroad.com/clemensbeute#heZDT
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Showing the 12 most recent of 19 posts we hold for @mattepaintingfeed. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
@mattepaintingfeed named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Matte Painting Feed” (@mattepaintingfeed), 1,570 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/mattepaintingfeed.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.