Tootfinder

🇺🇦 #NowPlaying on KEXP's #DriveTime
Midpak:
🎵 Disco Heaven 54
#Midpak
https://midpak.bandcamp.com/track/disco-heaven-54
https://open.spotify.com/track/3c5YeESFKhcoSnzgg5IVJ0

One of those problems where we know the solution - but there's no profit incentive, I guess. Wonder why the #ProLife community isn't pushing for solution.
World is short of nearly a million midwives, report warns

One of those problems where we know the solution - but there's no profit incentive, I guess. Wonder why the #ProLife community isn't pushing for solution.
World is short of nearly a million midwives, report warns

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
Mt Fog:
🎵 A Single Green Strand Emerges
#MtFog
https://mtfog.bandcamp.com/track/a-single-green-strand-emerges

@… I know but it seems like a fitting name: Facebook, Meta, Metabook, Moltbook 😅

Mšs paisajes así, siempre #silentsunday
#pixelfed

🇺🇦 Auf radioeins läuft...
Mumford & Sons:
🎵 Alleycat
#NowPlaying #Mumford #Sons
https://mumfordsons.bandcamp.com/track/alleycat
https://open.spotify.com/track/3MtVQlX0ZSPqs7d1Tn0g4m

Proc3D: Procedural 3D Generation and Parametric Editing of 3D Shapes with Large Language Models
Fadlullah Raji, Stefano Petrangeli, Matheus Gadelha, Yu Shen, Uttaran Bhattacharya, Gang Wu
https://arxiv.org/abs/2601.12234 https://arxiv.org/pdf/2601.12234 https://arxiv.org/html/2601.12234
arXiv:2601.12234v1 Announce Type: new
Abstract: Generating 3D models has traditionally been a complex task requiring specialized expertise. While recent advances in generative AI have sought to automate this process, existing methods produce non-editable representation, such as meshes or point clouds, limiting their adaptability for iterative design. In this paper, we introduce Proc3D, a system designed to generate editable 3D models while enabling real-time modifications. At its core, Proc3D introduces procedural compact graph (PCG), a graph representation of 3D models, that encodes the algorithmic rules and structures necessary for generating the model. This representation exposes key parameters, allowing intuitive manual adjustments via sliders and checkboxes, as well as real-time, automated modifications through natural language prompts using Large Language Models (LLMs). We demonstrate Proc3D's capabilities using two generative approaches: GPT-4o with in-context learning (ICL) and a fine-tuned LLAMA-3 model. Experimental results show that Proc3D outperforms existing methods in editing efficiency, achieving more than 400x speedup over conventional approaches that require full regeneration for each modification. Additionally, Proc3D improves ULIP scores by 28%, a metric that evaluates the alignment between generated 3D models and text prompts. By enabling text-aligned 3D model generation along with precise, real-time parametric edits, Proc3D facilitates highly accurate text-based image editing applications.
toXiv_bot_toot

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Midpak:
🎵 Disco Heaven 54
#Midpak
https://midpak.bandcamp.com/track/disco-heaven-54
https://open.spotify.com/track/3c5YeESFKhcoSnzgg5IVJ0

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
Mt Fog:
🎵 Eyes in Buildings
#MtFog
https://mtfog.bandcamp.com/track/eyes-in-buildings