AI Text-to-3D Object Generation System

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
Showing 1 of 1 servicesAll 1566 services
AI Text-to-3D Object Generation System
Complex
~2-4 weeks
FAQ
AI Development Areas
AI Solution Development Stages
Latest works
  • image_web-applications_feedme_466_0.webp
    Development of a web application for FEEDME
    1161
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1041
  • image_logo-advance_0.png
    B2B Advance company logo design
    561
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    823
  • image_logo-aider_0.jpg
    AIDER company logo development
    762
  • image_crm_chasseurs_493_0.webp
    CRM development for Chasseurs
    848

AI System for 3D Object Generation from Text (Text-to-3D)

Text-to-3D is one of the fastest-developing areas of generative AI. Over the last two years, methods evolved from blurry blob shapes to production-ready assets. We build pipelines integrating the best available methods under specific requirements for quality, speed and output format.

Methods and Their Applicability

Score Distillation Sampling (SDS) Methods: DreamFusion, Magic3D, Fantasia3D, ProlificDreamer — high-quality output through NeRF/mesh optimization under guidance from 2D diffusion model. Generation time: 30–90 minutes on A100. Application: hero assets, highly detailed objects.

Feedforward Methods (Fast):

  • Shap-E (OpenAI) — 3D model in 5–15 seconds, moderate quality
  • TripoSR (Tripo AI) — single image reconstruction in <1 sec
  • One-2-3-45 — multi-view reconstruction in 45 seconds
  • Instant3D — one of best speed/quality today

Multi-view Diffusion:

  • Zero123++ — multi-view synthesis from single image
  • MVDiffusion — panoptic multi-view generation

Post-Processing for Production

Any Text-to-3D output requires post-processing:

  • Retopology — xatlas for UV, Instant Meshes for quad-dominant topology
  • Textures — TEXTure, Text2Tex for UV texture generation on existing geometry
  • PBR Materials — generating normal/roughness/metallic maps from albedo
  • Cleaning — removing floating geometry, waterproofing for 3D printing

Development Pipeline

Weeks 1–3: Define asset requirements (poly count, UV, format, style). Benchmark methods on representative set of prompts.

Weeks 4–8: Configure multi-stage pipeline: rapid prototype (TripoSR) → selection → high-quality optimization (DreamFusion) → post-processing.

Weeks 9–12: Develop web interface with results gallery. Integration with game engine or 3D editor.

Realistic Expectations

Scenario Method Time Quality
Rapid Concept Prototype Shap-E / TripoSR 5–30 sec Draft
Medium Quality (prop assets) One-2-3-45 + postprocessing 10–30 min Production-ready
High Quality (hero asset) DreamFusion + retopology 2–4 h High-end

Export Formats

glTF 2.0 (standard for web and real-time), FBX (game engines), OBJ+MTL (universal), USDZ (Apple AR), STL (3D printing). Automatic LOD 0–3 generation for real-time applications.

Method Limitations

Text-to-3D works well for isolated objects with clear geometry. Complex composite objects, technical products with precise dimensions, characters with faces — all require more control and post-processing. For characters we recommend combining with Character Creator or Daz3D.