Kieran Farr

Last big feature for Three.js Water Pro V3 is implementing a completely new wake system with dynamic water displacement. You'll be able to attach wake generators to any object in the scene and the waves from each will interact. Still tuning the look (need some churn along sides of boat) but the functionality is working at least!

@sparkjsdev Working great for large area 3D scans! Here's a custom plaza scan using Spark 2.0 LoD streaming combined with Google 3d tile maps and custom models. It takes only 5 seconds (including app download) for this 2.5M splat to start being visible to the end-user, great work!

In Spark 0.1, world scale was constrained by real device limits: real-time splat counts, GPU memory ceilings, multi-GB file loading failures in the browser, and precision artifacts at large coordinates. Spark 2.0 reworks the architecture around LoD trees and streaming. Any splat file can be converted into a hierarchical LoD representation, with fixed, tunable splat budgets per frame to guarantee steady performance across devices. Scenes are streamed coarse-to-fine using a new .RAD format and managed by a shared LRU "splat pager" that keeps GPU memory bounded. We also added higher-precision ExtSplats encoding and ReadableStream support for multi-GB files. Branch: github.com/sparkjsdev/spa…

Spark 2.0 Developer Preview is now available: introducing Level-of-Detail (LoD) rendering and streaming for world-scale Gaussian Splats on the web. Learn more ↓

@bai0 @ID_AA_Carmack Yeah same experience, I left, came back, and 0 engagement with posts. Compared to TikTok where I just made a new account and content gets hundreds of likes and thousands of views almost instantly. No joke!

@ID_AA_Carmack The exodus was real, but for those of us that stayed the new algorithm just does not favor the little guy. I post things that used to get a few hundred likes, now it's a ghost town My expectation that you or anyone who follows me will even see this reply is nil. I post anyway 🤷‍♂️

It would be nice if some of the Twitter diaspora returned. So many creatives, but also many developers, that generally enriched the experience are no longer active. Those that performatively left and those with a seething hatred of Elon probably won’t be back soon, but a lot of people just disengaged on vague cultural grounds that can be reevaluated. There are probably some technical tweaks to the algorithm that could make them more comfortable. I don’t mind the existence of independent echo chambers that people are happy within. There is only a problem when some echo chambers are allowed and others aren’t. Reach out to lapsed friends!

@1littlecoder @3dstreetapp @bfl_ml @SFMTA_Muni @fal Thanks! Sent over a request to the @fal grants team to see if it's possible to get some credits for training on our larger data set 😉 happy to open source the weights

@kfarr @3dstreetapp @bfl_ml @SFMTA_Muni @fal this is so cool!

Now available: Convert CAD road striping drawings into aerial views with our AI Street Generator tool (from @3dstreetapp) and our new custom @bfl_ml LoRA we trained with public data from @SFMTA_Muni and aerial images via @fal API.

Try it out here: 3dstreet.app/generator/ from striping drawings sourced from here: sfmta.com/Striping

@_MattHuff @bfl_ml @fal @SFMTA_Muni Correct just images not vectors. There’d need to be a conversion process but that’s do able these days if the image is clean enough. Once training is done inference is cheap

@kfarr @bfl_ml @fal @SFMTA_Muni Interesting, did not realize training time was still this expensive. Just so I understand completely, existing model just uses images of CAD files correct? No actual reading of CAD vector files?

Upload street marking CAD drawings and generate realistic aerial renderings! Demo of a small LoRA fine-tuning of @bfl_ml Flux 2 Dev via @fal from @SFMTA_Muni publicly available striping drawings into aerial satellite map style perspectives.

@_MattHuff @bfl_ml @fal @SFMTA_Muni Yes it is possible, and we have the data, but honestly it's not cheap to get the GPU time to train. Perhaps @fal can help with some credits to do more fine tuning on a larger dataset

@kfarr @bfl_ml @fal @SFMTA_Muni I’m interested in the reverse for rough design purposes! Do you think a model could be trained on aerial images and generate CAD basemaps?

30/31: There are a lot of ways to show off cutting edge technology like state of the art Gaussian splat 3D scanning, compositing, visualization, and AI rendering technology. Here are some cones in a plaza.

Some great renderings of upzoning in SF Look how inoffensive this is…this ought to be table stakes

29/31: The holidays are a slow time for @3dstreetapp. Even so, in the past 72 hours over 100 scenes were updated by users. Here are 2 I liked and re-rendered...

28/31: Using the Terrain Flattening tool in @3dstreetapp to visualize an underground sewer replacement project in San Francisco's Mission District.

27/31: Stoked to see the great output from @bfl_ml LoRA fine-tuning of Flux 2 Dev via @fal from municipal street striping drawings into aerial satellite map style perspectives. Now upload arbitrary cad drawings to see realistic aerial rendering in less than 30 seconds.

26/31: From pavements to parks at Treat Plaza North on a future @MySFPUC project. 2024 Concept by Terrain Studio via SketchUp into 3DStreet for compositing w/ map tiles, add'l models, and rendering. More info on Treat Plaza North from @SFBaySierraClub: greensfnow.org/projects/treat…

@stspanho @danmonaghanz @playcanvas @sparkjsdev The temporal stability is insane!

@danmonaghanz @playcanvas @sparkjsdev No, I directly used the output of Sharp. Only did some optimizations in compression

From 2D video to a very rough 4D Gaussian Splatting POC on the Apple Vision Pro 👀 Took Big Buck Bunny frames, turned them into Gaussian splats with Sharp (Apple), compressed them with @playcanvas splat transform to SOG, and played all frames via WebXR + @sparkjsdev Still rough and not fully optimized, but wow, dynamic GS in AVP feels wild 🤯 Second part of the video is on my laptop #threejs

24/31: Thank you John from @bcgp for sharing your experiments with using rings and arc geometry primitives for created curved street designs with @3dstreetapp. It's fun and rewarding to see the spirit of open-source collaboration used for safer street visualizations!

23/31: By popular demand from TikTok viewers, here's a street-level look at the family zoning visualization, generated with @EcoMunsing's Cityscaper and visualized in @3dstreetapp.

Visualizing a San Francisco Family Zoning scenario in the Richmond District 20 years from now with @3dstreetapp and @EcoMunsing's CityScape. Links: 3DStreet: 3dstreet.com Cityscaper: #process" target="_blank" rel="nofollow noopener">cityscaper.org/#process SF Family Zoning info: sfplanning.org/sf-family-zoni…

Links: • Cityscaper repo: github.com/emunsing/citys… • 3DStreet: 3dstreet.com • SF Family Zoning info: sfplanning.org/sf-family-zoni…

Family zoning is coming to SF -- we visualized 20 years of development in Duboce Triangle using @EcoMunsing's Cityscaper + @3dstreetapp Each parcel has a probability of developing under the new rules. The tool simulates which get built & how tall, then we rendered it in 3D.