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TencentARC / Pixal3D

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[SIGGRAPH 2026] Pixal3D: Pixel-Aligned 3D Generation from Images

ldyang694.github.ioprojectspixal3d
349
24
100% credibility
Found May 13, 2026 at 349 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Pixal3D turns a single image into a detailed 3D model with geometry and realistic textures using pixel-to-3D alignment.

How It Works

1
🖼️ Pick your photo

You find the Pixal3D demo online and upload a clear picture of an object, like a toy or shoe.

2
✨ Magic starts

Click generate, and watch the progress bar as your 2D photo turns into a full 3D model with realistic shapes and shiny textures.

3
🚀 See it spin!

In seconds, preview your new 3D creation from every angle – clay mode, colored, even lit like in a forest or sunset.

4
💾 Grab your model

Download the ready-to-use 3D file to drop into games, apps, or 3D printers right away.

🎉 Your 3D world grows

You've got a lifelike 3D version of your photo, perfect for sharing or building something cool – easy as pie!

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Star Growth

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AI-Generated Review

What is Pixal3D?

Pixal3D generates high-fidelity 3D meshes with PBR textures from a single image using pixel-aligned techniques, delivering near-reconstruction detail by directly mapping pixels to 3D points. This Python project, accepted to SIGGRAPH 2026 technical papers, solves inconsistent geometry and textures in image-to-3D generation. Users get GLB exports via `python inference.py --image input.png --output output.glb`, plus a Gradio web demo and Hugging Face Spaces for instant testing.

Why is it gaining traction?

It outperforms loose attention-based methods with explicit back-projection for precise alignments, producing usable assets fast on TRELLIS.2 backbones. The online HF demo and dual branches (latest main, paper-repro paper) hook devs checking SIGGRAPH 2026 github repos. Early buzz ties to 2026 timelines like technical papers deadlines.

Who should use this?

3D ML researchers benchmarking pixel-aligned generation against baselines. Game asset creators turning concept sketches into textured models. SIGGRAPH 2026 hopefuls prototyping image-conditioned flows before rebuttals.

Verdict

Grab it for experiments if you're in Python 3D gen—349 stars show niche interest, but 1.0% credibility flags immaturity like spotty docs and setup quirks. Fork and contribute; production waits on polish.

(178 words)

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