Vast3D provides an AI‑driven platform that converts 2D images into production‑ready photorealistic 3D meshes and PBR textures. The cloud service offers automated retopology, LOD generation, and export in FBX, glTF, or OBJ, with REST API and SDKs for Unity and Unreal integration, enabling game, simulation, and VR studios to scale asset creation without expanding modeling staff.
Funding
Funding not disclosed
Founders
Product
Problem
Creating photorealistic 3D assets at scale requires skilled modelers, extensive manual sculpting, and lengthy iteration cycles, which bottleneck production pipelines for games, simulations, and VR experiences. The high cost and time associated with traditional asset pipelines limit the ability of studios to meet rapid content demands.
Solution
Vast3D offers an AI‑driven software platform that transforms ordinary 2D images into high‑fidelity 3D meshes and textures with minimal human intervention. The core engine combines deep‑learning depth estimation, neural texture synthesis, and automated retopology to generate production‑ready geometry that meets industry quality standards. Users can submit single images or batch collections through a RESTful API or desktop client, enabling seamless integration with existing asset management and version‑control systems. The platform outputs industry‑standard formats (FBX, glTF, OBJ) and includes automatic level‑of‑detail (LOD) generation to optimize assets for real‑time rendering. Cloud‑based GPU acceleration ensures rapid turnaround, allowing studios to scale asset creation without expanding their modeling staff. Comprehensive SDKs for Unity, Unreal Engine, and custom pipelines let developers embed the conversion workflow directly into their content pipelines, shortening iteration loops and reducing overall production costs.
Target Audience
Primary customers are game development studios, simulation and training providers, and VR/AR content creators that require large quantities of photorealistic 3D models for real‑time applications.
Features
- Deep neural network for monocular depth inference and surface reconstruction from a single 2D image
- Neural texture generation that produces PBR‑compatible albedo, normal, and roughness maps
- Automated retopology with controllable polygon budgets to meet real‑time rendering constraints
- Batch processing engine with parallel GPU scaling for high‑volume asset generation
- Built‑in LOD creation and mesh simplification tools for multi‑resolution asset pipelines
- Export of industry‑standard 3D file formats (FBX, glTF, OBJ) with configurable material presets
- REST API and SDKs for Unity, Unreal Engine, and custom C++/Python integrations
- Cloud‑hosted inference service with secure data transfer and role‑based access controls