Channel
@echoinside
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
104subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001229360463 |
|---|---|
| Type | Channel |
| Username | @echoinside |
| Description | ML in computer graphics and random stuff. Any feedback: @fogside |
| Created | 22 January 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 9 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/echoinside |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 09:17 | 104 | no change |
| 7 Aug 2026, 19:49 | 104 | first reading |
18 posts held, back to 21 May 2021 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof 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 18 posts for this entry, the most recent from 26 September 2025. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 3 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.
17 reactions across 3 posts, in 5 distinct kinds. The most used accounts for 58.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤🔥 | 10 | 58.8% | |
| 🎃 | 4 | 23.5% | |
| ⚡ | 1 | 5.88% | |
| 👍 | 1 | 5.88% | |
| 🦄 | 1 | 5.88% |
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 3 of the 18 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 17reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 21 May 2021 to 26 September 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Много что можно говорить про NanoBanana и всех его убийц. Но вот то что оно может понять идею концепта и пере-рендерить его чисто с сохранением смысла -- это было недостижимо ранее. И это был мой основной метод тестирования моделей на уровень их интеллектуального развития. Одно дело догадаться что рядом с деревом стоит красный куб. Другое дело понять абстрактную зарисовку. Контролнеты и другие методы управления гене…
❤🔥3🎃1👍1🦄1
tldr; ищу Computer Vision Engineer (Freelance) к себе -- Привет! Я знаю, что в этом канале апдейты появляются не часто (и я не обещаю это исправить 😅). Но я безумно рада и благодарна что вы еще здесь. ✨ С 2024 года я работаю над проектом MyArchitectAI в качестве CTO и ко-фаундера. Наша цель это заменить physical based rendering на более простой и быстрый ai рендер. У нас уже есть юзеры, которые используют нас вмес…
❤🔥7
🌛 Это пост про вакансию Senior Applied Research Engineer Я давно не писала, но вот у меня появились новости. Ищется Senior Applied Research Engineer в Ready Player Me, с возможностью быть лидом R&D команды (если есть желание брать ответственность и желательно опыт). Как понять что вам это интересно? Посмотрите вот этот видос (взят отсюда, End-to-end Automatic Body and Face Setup for Generative or User Created 3D Avat…
🎃3⚡1
Video, posted without a caption
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding [Nvidia] - code - project page - pdf - twitter We demonstrate near-instant training of neural graphics primitives on a single GPU for multiple tasks. In gigapixel image we represent an image by a neural network. SDF learns a signed distance function in 3D space whose zero level-set represents a 2D surface. NeRF [Mildenhall et al. 2020] uses 2D im…
🔥StyleGAN3 by NVIDIA! Do you remember the awesome smooth results by Alias-Free GAN I wrote about earlier? The authors have finally posted the code and now you can build your amazing projects on it. I don't know about you, but my hands are already itching to try it out. 🛠 Source code 🌀 Project page ⚙️ Colab
Video, posted without a caption
Large Steps in Inverse Rendering of Geometry 😱😱😱 [EPFL, SIGGRAPH Asia 2021] - twitter thread - project page - pdf Inverse reconstruction from images to meshes just made a huge step forward. No code yet. The examples in the paper are not close enough to possible input images in reality. But it still looks very cool. We propose a simple and practical alternative that casts differentiable rendering into the framework o…
Finally, somebody merged NeRF and CLIP ☺️🔥 The author is one of the creators of Diet NeRF. - original twitter thread - some other attempts to shape point clouds with CLIP Text to 3D implemented with CLIP + NeRF (an evolution of DietNeRF!) Prompt: "a 3d render of a jenga tower in unreal engine"
If you’re not an attendee but you want to be, Unity have teamed up with SIGGRAPH to offer free Basic-tier access to everyone. Use code UNITY21. More details: https://unity.com/event/siggraph-2021
#promo For Russian speakers ——— 3-дневный интенсив по модульному синтезу в VCV Rack - открытом и бесплатном эмуляторе модульных синтезаторов. Рассмотрим основы синтеза, научимся применять модуляры в создании музыки от попа до нойза КОГДА: 23-29 августа (даты уточняются) ПРОГРАММА • Общие принципы синтеза • Виды синтеза • Логические элементы и интерфейсы • Практика ФОРМАТ Онлайн + возможно оффлайн в Москве ДЛЯ УЧАС…
Video, posted without a caption
Showing the 12 most recent of 18 posts we hold for @echoinside. 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.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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.
“echoinside” (@echoinside), 104 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/echoinside.
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.