Channel

TechArt - Archive

@TechArtArchive

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,955subscribers

-1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID	-1001467856939
Type	Channel
Username	@TechArtArchive
Created	Between 1 April 2019 and 30 September 2021— 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	4
Confirmed unchanged	2 times, most recently 13 August 2026
On Telegram	t.me/TechArtArchive

Growth

4 measurements spanning 3 days, net -1. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,953–1,956 and does not start at zero.

Measurement log — every subscribers count we have recorded
Measured (UTC)	Subscribers	Change
9 Aug 2026, 18:12	1,955	+2
7 Aug 2026, 02:52	1,953	-3
6 Aug 2026, 17:16	1,956	no change
6 Aug 2026, 16:41	1,956	first reading

Engagement

21 posts held, back to 12 July 2026 — 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.

ERR · 30 days: 31.3%; avg views ÷ 1,955 subscribers
Avg views / post: 612; 16 posts measured
Reaction rate: 0.771%; reactions ÷ views · ER floor
Posts in window: 16; of 21 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 13 of 16 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
Window	Rolling 30 days · latest post in window 7 August 2026
Posts held	21 (12 July 2026 – 7 August 2026)
Views total	9,793
Reactions total	62
Forwards / comments	not exposed by the public surface — not measured, not estimated
Readings taken	7 Aug 2026, 17:12 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

87 reactions across 18 posts, in 6 distinct kinds. The most used accounts for 49.4% of them.

Every reaction kind recorded on the sample, most used first
Reaction	Count	Share
🔥	43	49.4%
👍	22	25.3%
❤	10	11.5%
😱	6	6.90%
💔	4	4.60%
🤔	2	2.30%

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 18 of the 21 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 87reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 12 July 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

7 Aug 2026, 02:44 UTC375 views1 reactionsread 7 August 2026

Gabor Fields: Orientation-Selective Level-of-Detail for Volume Rendering Gabor Fields — volumetric-представление на замену Gaussian Splatting: примитивы меняются на ядра Габора (Gaussian, модулированный синусоидой). Orientation selectivity отсекает ядра, чья ориентация не совпадает с лучом, а LOD реализован прунингом — без перебучивания. Итог: +2 дБ PSNR при равном числе примитивов, до 2.8× ускорение с control varia…

🔥1

Signed Oleg Pivovarov

3 Aug 2026, 12:28 UTC549 views1 reactionsread 7 August 2026

High-Performance Real-Time Implicit Strand-Based Hair Rendering via Software Rasterization Применение software rasterization (программную растеризацию) для strand-based hair: deferred shading с адаптивным LOD (level of detail), корректный far-field при одном sample per pixel. #Rendering #RealTimeRendering #GPUDriven #Paper Читать оригинал — Lukas Lipp, Adrian Jarabo, Michael Wimmer, Lukas Bode

🔥1

Signed Oleg Pivovarov

1 Aug 2026, 15:17 UTC576 views15 reactionsread 7 August 2026

#wtf Немного дедового ворчания. Гайс - AI и написание простейшего тулинга при его помощи - common knowledge. Вы не пользуетесь / не знаете? Пока пока с рынка, а не "мое конкурентное преимущество". Сейчас на профильных ресурсах читать народ невозможно - все засрато "я написал микро движок с помощью АИ, какой я молодец", "GIF генератор!", "PDF editor с помощью AI". Все понимаю, охваты, демонстрация своей прогрессивно…

👍10❤3🤔2

Signed Oleg Pivovarov

1 Aug 2026, 15:01 UTC522 viewsread 7 August 2026

Neural Render Proxies for Interactive and Differentiable Lighting Нейросетевые прокси (NRP) от Disney Research обеспечивают рерайтинг сцены в реальном времени (30–60 fps) с качеством, близким к path tracing. Лёгкая сеть обучается один раз и заменяет полный рендер-пасс при изменении освещения — без пересчёта всего пайплайна. Поддерживает дифференцируемость для inverse-задач (восстановление источников света по изображ…

Signed Oleg Pivovarov

31 Jul 2026, 15:55 UTC740 views6 reactionsread 7 August 2026

Synthesizing Realistic Clouds for Video Games Эндрю Шнайдер из Guerrilla Games рассказывает про систему Nubis — риалтаймовый движок объёмных облаков из серии Horizon. В основе — ray marching через volumetric field (объёмное поле), процедурные шумы задают форму, аппроксимация рассеяния света (scattering) симулирует освещение. Доклад сосредоточен на компромиссах между физической точностью и жёсткими performance-бюджет…

👍6

Signed Oleg Pivovarov

28 Jul 2026, 18:18 UTC610 views9 reactionsread 7 August 2026

Real-Time Neural Hair Denoising Авторы предлагают нейросеть для восстановления hair G-buffers (покрытие и tangent-поля) из прореженной растеризации — когда отрисовывать каждый strand попиксельно в реальном времени непозволительно дорого. Пайплайн последовательно применяет пространственное восстановление, темпоральную аккумуляцию и tangent-guided уточнение позиций прядей. На тестах обходит DLSS и FSR по качеству реко…

🔥6❤2👍1

Signed Oleg Pivovarov

28 Jul 2026, 18:16 UTC541 views10 reactionsread 7 August 2026

#wtf Чутка на посмеяться. Моя основная рабочая станция ноне - ноутбук. Активно эксплуатируется 24/7 уже почти 3 года. Сегодня ровно посередь рабочего процесса засранец приказал долго жить. С одной стороны можно порадоваться, это первый мой ноут, на котором сдохло именно что то на матери (кажись контроллер питания), с другой стороны - даже оч хорошее железо дохнет от наших темпов))) Энивей, есть более хилая подменная…

😱6💔4

Signed Oleg Pivovarov

25 Jul 2026, 13:35 UTC710 views2 reactionsread 7 August 2026

Procedural UV Derivatives Evaluation in SORT Renderer Forward-mode automatic differentiation (AD — вычисление производных параллельно значениям) позволяет вычислять ∂UV/∂x и ∂UV/∂y для произвольных процедурных координат без численных аппроксимаций. «A Graphics Guy» разбирает реализацию в компиляторе SSL для рендерера SORT: вместо соблазнительного SIMD-сэмплирования для численного diff — «теневые» инструкции AD, прот…

🔥2

Signed Oleg Pivovarov

24 Jul 2026, 13:25 UTC618 views1 reactionsread 7 August 2026

Computing Camera Rays Наивное вычисление ray direction через разность точек на near/far plane даёт catastrophic cancellation (потерю значащих цифр) — особенно когда камера далеко от начала координат. Кристоф Петерс предлагает задавать луч как пересечение двух clip-space плоскостей: трансформируете их в world space, cross product нормалей — стабильное направление готово. Метод работает и для perspective, и для orthog…

🔥1

Signed Oleg Pivovarov

24 Jul 2026, 13:24 UTC572 viewsread 7 August 2026

Шов на кубмапе IBL: как коррелированные сэмплы выдают баг HDRP Разбор шва на гранях X+/X− преднасвеченных specular-кубмап — бага, живущего в Unity HDRP. Причина — столкновение двух оптимизаций: все пиксели берут одну и ту же low-discrepancy последовательность сэмплов, а тангент-базис строят через дешёвую функцию с сингулярностью. На центре грани одна ось базиса переворачивается, зеркаля паттерн выборки — отсюда разр…

Signed Oleg Pivovarov

22 Jul 2026, 12:24 UTC878 views6 reactionsread 7 August 2026

И крайне интересный подход Upsampling via Multisampling: апскейл из MSAA без нейросетей John Hable переиспользует джиттер-сэмплы, уже лежащие в MSAA-буфере, чтобы не резолвить, а апскейлить: недостающие пиксели восстанавливаются из известных субпиксельных позиций. Дырки заполняет edge-directed интерполяция по правилу наименьшего градиента яркости — без «зубцов» на диагоналях. В отличие от TAA, держит тонкие детали …

🔥6

Signed Oleg Pivovarov

22 Jul 2026, 12:23 UTC545 views5 reactionsread 7 August 2026

Опять проморгал. Энивей, держите приближенную к практике статейку по ниагаре. Niagara не только частицы: Simulation Stages и Grid2D в UE5 Как использовать Niagara не как систему частиц, а как GPU-фреймворк общих вычислений — через Simulation Stages, проходы, работающие прямо по данным, а не по частицам. Мысль в том, что сетка 256×256 без них потребовала бы 65 536 частиц, а тут всё считается на Grid2D (render targe…

❤4🔥1

Signed Oleg Pivovarov

Showing the 12 most recent of 21 posts we hold for @TechArtArchive. 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.

Citation-graph rank

Citation-graph rank — 494,748 of 1,350,102entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

stinger | блог Романа Ильина о геймдизайне и не только
@gamedev_stinger · 8192 posts

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.

Cite this entry

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 9 August 2026 — this entry's latest reading, not the date you are reading this.

“TechArt - Archive” (@TechArtArchive), 1,955 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/TechArtArchive.

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.