Meshy

Converts natural language descriptions into full 3D models by processing text prompts through a multi-stage diffusion pipeline that understands spatial relationships, object topology, and material properties. The system maps linguistic descriptions to 3D geometry and texture space simultaneously, generating models with proper UV unwrapping and PBR-ready surface attributes without requiring intermediate 2D representations.

Transforms 2D images into 3D models by inferring depth, occlusion, and 3D structure from single or multiple image inputs using neural depth estimation and volumetric reconstruction. The system learns 3D geometry from image features, handles perspective distortion, and generates complete models even from partially visible objects by inferring occluded geometry based on learned shape priors.

Generates physically-based rendering (PBR) texture maps including albedo, normal, roughness, metallic, and ambient occlusion from model geometry or input images. The system uses neural texture synthesis to create coherent, tileable textures that respect material properties and surface continuity, with support for stylization and artistic control over material appearance.

Applies artistic styles, visual themes, and aesthetic transformations to existing 3D models by processing geometry and textures through style-aware neural networks. The system preserves model topology while reinterpreting surface appearance, materials, and visual character to match specified artistic directions (cartoon, photorealistic, fantasy, etc.) without requiring manual re-texturing or model editing.

Exports generated or processed 3D models to multiple industry-standard formats (GLB, FBX, OBJ, USDZ) with automatic optimization for target platforms and rendering engines. The system handles format-specific requirements including polygon count optimization, texture baking, material conversion, and metadata preservation to ensure models work correctly in target applications without post-processing.

Supports programmatic generation of multiple 3D models through REST API endpoints with batch processing capabilities, enabling integration into automated workflows and content pipelines. The system queues generation jobs, tracks completion status, and provides webhook callbacks for asynchronous processing, allowing developers to generate hundreds of models without manual intervention or UI interaction.

Reconstructs 3D models from multiple images of the same object captured from different angles, using structure-from-motion and multi-view stereo techniques to infer complete 3D geometry. The system aligns images, estimates camera poses, and builds dense point clouds that are converted to mesh geometry, handling occlusions and viewpoint variations to produce more accurate models than single-image conversion.

Enhances and refines texture quality on existing 3D models by upscaling texture resolution, adding fine surface details, and improving material definition without modifying geometry. The system uses super-resolution and detail synthesis to increase texture fidelity, enhance normal maps for better surface detail perception, and improve material consistency across the model surface.