Hey Product Hunt! Stone here, creator of Pixal 3D. The problem that drove me to build this: Every image-to-3D AI I tried had the same fatal flaw — they hallucinate. You upload a gorgeous concept with intricate details, and the 3D output comes back with generic shapes, warped proportions, and blurred textures. The front might look okay, but flip it around and the back is a fever dream. That's because most 3D generators work in "canonical space" — they synthesize a generic pose and loosely inject image cues via attention. The correspondence between your 2D pixels and the 3D output is lost. What Pixal 3D does differently: We built a pixel back-projection conditioning scheme. Instead of guessing, we explicitly lift multi-scale 2D image features directly into a 3D feature volume — creating unambiguous pixel-to-3D correspondence. The result is reconstruction-level fidelity. The 3D output actually matches your input image, down to the fine details. This research was accepted to SIGGRAPH 2026, and the code is fully open source (GitHub: TencentARC/Pixal3D, weights on Hugging Face). What you can do on the platform today: - Text-to-3D and image-to-3D generation with PBR textures (base color, normal, roughness) - Multi-view aggregation for 360° consistent results - Complete VRChat avatar pipeline: texturing, auto-rigging, animation presets - Export to GLB — drag and drop into Unity, Unreal, or Blender The product runs on Tripo3D's infrastructure with a credit-based system. Free tier gives you 20 credits to try the full pipeline — no time limit, use them whenever. I'd love to hear from you: What's the one thing in your 3D workflow that AI still can't get right? If you've tried image-to-3D tools before, what disappointed you the most? Drop a comment — I'll be here all day answering questions and would love to hear your war stories.

Pixal3D

Generate Pixel-Perfect 3D Assets In Seconds

Generate Pixel-Perfect 3D Assets In Seconds