26 Jul 2026, 19:33 UTC50 viewsread 9 August 2026
https://crysta.ai/
Channel
3DGS, 4D Gaussian Splatting and Beyond
@NeRFsGS
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
86subscribers
+2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002174971771 |
|---|---|
| Type | Channel |
| Username | @NeRFsGS |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 27 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 27 August 2026 |
| On Telegram | t.me/NeRFsGS |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Aug 2026, 01:24 | 86 | +1 |
| 13 Aug 2026, 01:44 | 85 | +1 |
| 9 Aug 2026, 17:15 | 84 | no change |
| 6 Aug 2026, 17:32 | 84 | first reading |
Engagement
18 posts held, back to 30 June 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 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 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 2m 59s
- Average length
- 45s
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.
Reaction mix
20 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 35.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 7 | 35.0% | |
| ❤ | 6 | 30.0% | |
| 👍 | 6 | 30.0% | |
| 🦄 | 1 | 5.00% |
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 9 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 20reactions 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 30 June 2026 to 26 July 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
25 Jul 2026, 12:00 UTC51 views1 reactionsread 9 August 2026
https://github.com/awesome-4dgs/awesome-4dgs This list uses 4DGS broadly: native 4D Gaussian primitives, deformable or time-conditioned 3D Gaussians, explicit Gaussian trajectories or sequences, and closely related dynamic Gaussian representations. Of 351 listed arXiv papers, 329 are direct dynamic-Gaussian works, 2 are supporting resources, and 20 are clearly labeled adjacent or historical references. Each categor…
👍1
25 Jul 2026, 12:00 UTCviews —
Channel name was changed to «3DGS, 4D Gaussian Splatting and Beyond»
23 Jul 2026, 15:49 UTC54 viewsread 9 August 2026
https://www.fab.com/listings/44fcdaad-8765-4479-b2cb-adf34f9c0a4d Bring Gaussian splats into Unreal Engine 🚀 WallGS is a native Gaussian Splat Renderer for Unreal Engine, built to make large splat scenes easier to import, render, optimize, and use inside real projects. Import your existing .SOG or .PLY Gaussian splat files directly into the Content Browser, drag them into your level, and experience them in the Unre…
21 Jul 2026, 20:56 UTC52 viewsread 9 August 2026
Forwarded from @AIphysical
We built Splatimation mostly because we were frustrated. We used to build tours on a platform designed around 360° panoramas. Gaussian Splats were bolted on as an afterthought. The UI was clunky and importantly there was no streaming capability, so when you sent a tour to someone with less than a flagship device, it would stutter and lag. That never sat right with us. 3D Gaussian Splatting is a better medium for v…
21 Jul 2026, 12:15 UTC115 viewsread 9 August 2026
Photo
Great news—we’re extending the presale until July 25th! ⏳ To be honest, we’ve been getting so many questions about the setup and compatibility that we wanted to give everyone enough time to make sure it’s exactly what they need for their gear before the price goes up. If you’ve ever been out in the field shooting 360 or doing photogrammetry, you probably know the pain of a shaky rig. There’s nothing worse than open…
18 Jul 2026, 14:10 UTC49 views1 reactionsread 9 August 2026
Forwarded from @AIphysical
3D for everyone, everywhere: today, we’re proud to introduce OnTheFly. https://onthefly3d.com Born from the GraphDeco research group at Inria, OnTheFly is building the next generation of 3D media tools by putting high-quality 3D capture directly in the palm of your hand. Our ambition is to make capturing, navigating, and editing 3D content accessible to anyone, with no specialized hardware, no expert workflow, and …
❤1
13 Jul 2026, 10:56 UTC60 views3 reactionsread 9 August 2026
https://junyuandeng.github.io/Glob3r/ Global Structure-from-Motion with 3D foundation models, turning feed-forward geometric predictions into optimizable multi-view constraints
❤1👍1🔥1
12 Jul 2026, 12:15 UTC54 views3 reactionsread 9 August 2026
How to View Massive Gaussian Splats in the Browser. This is a large Lublin, Poland scan with 250M+ Gaussian splats. The raw PLY in my test was 16.4 GB — too large to import directly as a normal browser asset. So instead of trying to open the raw file directly: Convert first. View later. The workflow: PLY → Web-ready Package → TimeSplat 4D Business After conversion, the scan loads quickly, streams detail progressi…
❤1👍1🔥1
12 Jul 2026, 10:48 UTC51 views3 reactionsread 9 August 2026
Video
Jaskirat Singh Today I’m releasing Splatline v2. Splatline is a toolkit for exploring Gaussian splat videos in 3D. This release adds 5 reconstruction backends: VGGT, LongSplat, DepthSplat, SHARP, and TripoSplat. It also includes faster pose and depth estimation, a tiered human pipeline, true splat rendering in the player, SLAM 3D mapping, image-to-mesh up to 11M vertices, and local Mac support. The first release …
❤1👍1🔥1
12 Jul 2026, 10:45 UTC42 views3 reactionsread 9 August 2026
Video
Rough 3D blockout → AI-photoreal still → a metric, camera-movable 3D Gaussian Splat. 🎬 That's a previz pipeline I've been building — and I just open-sourced the piece that makes the last arrow actually work. The steps: 1️⃣ 3D scene (Houdini / Blender / etc.) — block it out, render a beauty pass + a camera-space depth AOV (Karma cam_zdepth / hitPz). The depth is real, to-scale. 2️⃣ Image model (an img2img pass, e.…
❤1👍1🔥1
11 Jul 2026, 13:55 UTC41 viewsread 9 August 2026
https://www.linkedin.com/posts/simon-dewey-4b835622_single-video-source-4d-face-reconstruction-ugcPost-7481469343411703808-UKaa/?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAAYuSGUB01rbMyTFNW4SkTf50dynCH7Luuw 😳Single video source 4D Face reconstruction to generative pipelines… We’ve busy building away, exploring some interesting new ways to create…. Combining 4d face reconstructing from a sin…
Showing the 12 most recent of 18 posts we hold for @NeRFsGS. 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 — 548,909 of 1,627,068entries 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.
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.
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 27 August 2026 — this entry's latest reading, not the date you are reading this.
“3DGS, 4D Gaussian Splatting and Beyond” (@NeRFsGS), 86 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/NeRFsGS.
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.