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Comparing Generative 3D Models

See how Hunyuan 3D 2.1, Direct 3D-S2, and other models differ when generating 3D assets from the same input. Use this guide to choose the right model for your needs.



Scenario offers multiple models for 3D generation. While all can transform 2D images into 3D meshes with textures, their outputs can vary significantly. Especially in terms of mesh quality, texture detail, and stylistic fidelity. This guide compares a few of the most commonly used models so you can make informed choices.

What are the available models at Scenario?

Our available models are Hunyuan3D (2.0/2.1), Trellis, Hunyuan Multi-View and Direct3D-S2.

Model

Best For

Key Strengths

Processing Time / Requirements

Reference Images Needed

Hunyuan3D 2.0

Good overall fidelity

Vivid textures, advanced geometry, strong customization

Slowest Hunyuan version

1 (optional multi-view)

Hunyuan3D 2.1

Ultra-detailed assets with PBR focus

Smoother meshes, high-fidelity textures, improved speed over 2.0

Moderate speed, great quality

1 (optional multi-view)

Hunyuan3D Fast

Quick 3D previews and idea validation

Fast inference, sufficient detail for rapid concepts

Very fast, lower realism

1

Hunyuan Multi-View 2.0

Detailed object modeling from limited views

Multi-view accuracy, vivid textures, good coherence

Slower due to processing 4 views

Up to 4

Hunyuan Multi-View Fast

Fast multi-view modeling

Faster multi-angle processing, decent results

Quicker than full multi-view

Up to 4

Trellis

Stylized or precise geometry-driven assets

High detail with multi-reference inputs, great for stylized/textured variations

Fast; needs clean reference set

1–10

Direct3D-S2

High-res voxel-based props or environmental assets

Sparse attention for efficiency, handles large-scale assets well

Efficient but slower at peak quality

1

Hunyuan3D 2.1 vs Direct 3D S2

Model

Low Polygons - 10k

Medium Polygons - 40k

High Polygons - 80k

Hunyuan3D 2.1

Direct 3D-S2


Which one is the best for my project?

Hunyuan3D (Fast, 2.0, 2.1)

Developed by Tencent, Hunyuan3D is built on a two-stage generation pipeline:

  1. Mesh Generation using Hunyuan3D-DiT (a flow-based diffusion model),

  2. Texture Mapping using high-resolution synthesis.

The model supports single-image input and offers customization options.

  • Hunyuan3D 2.0: Generates highly detailed models with rich textures and advanced geometry, but processing times are longer compared to newer versions.

  • Hunyuan3D 2.1: Currently the best overall model, delivering excellent quality in both mesh and textures, including advanced PBR maps. It offers the ideal balance between speed and fidelity, making it the top recommendation for most use cases.

  • Hunyuan3D Fast: Best suited for quick previews and rapid iterations. It provides much faster generation times, though with reduced surface realism and less detailed textures compared to the standard versions.

Below are some models generated using Hunyuan 3D 2.1:

Hunyuan Multi-View (2.0 and Fast)

Hunyuan MV expands on Hunyuan3D by supporting up to 4 reference images from multiple angles (front, left side, right side, and back), enabling the model to reconstruct more accurate 3D geometry.

  • Hunyuan Multi-View 2.0: Prioritizes accuracy and detail, suitable when reconstruction precision matter.

  • Hunyuan Multi-View Fast: Supports up to 4 images as well, optimized for faster generation without significantly compromising on form.

šŸ“Œ Best for : Scanning-like tasks, physical object replications, and 3D photogrammetry with few images.


Trellis

Developed by Microsoft, Trellis is based on the Structured LATent (SLAT) representation, which encodes structural and textural information jointly. It performs particularly well when given multiple reference images (up to 10) and excels in geometry-driven tasks with strong surface continuity.

  • Trellis excels in stylized looks, such as toon shading, low-poly geometry, or illustrative designs.

  • Accepts a wide variety of reference images and up to 10 images.

šŸ“Œ Best for : Stylized objects, non-photoreal environments, geometry-heavy tasks, and scene elements like UI props or toys.


Direct3D-S2

Developed by NJU-3DV, Direct3D-S2 is designed for scalability. It uses Spatial Sparse Attention (SSA) to generate voxel-based models up to 1024³ resolution while remaining computationally efficient.

  • It produces acceptable detail for props or environments, though mesh fidelity can drop with increasing complexity.

  • Well-suited for terrain, urban layouts, or environmental structures where voxelization and structure outweigh texture polish.

šŸ“Œ Best for : Large-scale scenes, environmental assets, voxel-heavy objects, or low-compute pipelines.

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