
Hitem3D 2.0
All-in-One 1536Pro PBR Texture Generation!
What it does
All-in-one PBR texture generation at 1536Pro resolution——From"mapped on" to "grown from within",redefining realism in 3D texturing. 1. Intelligent Completion for Invisible Structures Textures grow via structure-aware tech, replacing traditional projection to auto-fill hidden areas for full coverage. 2. Intelligent Lighting Interference Correction Removes ambient light, shadow and highlight interference, restoring standard colors for stable full-color 3D printing.
Does a similar job
all alternatives →

- GFGenerative Fill with AI and 3D2023 · github.com · ▲360
Hey all, You've probably seen projects that add objects to an image from a style or text prompt, like InteriorAI (levelsio) and Adobe Firefly. The prevalent issue with these diffusion-based inpainting approaches is that they don't yet have great conditioning on lighting, perspective, and structure. You'll often get incorrect or generic shadows; warped-looking objects; and distorted backgrounds. What is Fill 3D? Fill 3D is an exploration on doing generative fill in 3D to render ultra-realistic results that harmonize with the background image, using industry-standard path tracing, akin to…
- TCTridiv - CSS 3D Editor2013 · tridiv.com · ▲277


More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com

