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Comparing Generative 3D Models

Scenario offers a suite of cutting-edge models for transforming 2D images into fully textured 3D assets. While all models can convert flat images into meshes, they vary in geometry accuracy, texture realism, and performance speed.

This guide helps you compare key models (especially Rodin, Tripo, and Hunyuan, which are currently some of top recommendations for high-fidelity asset creation).


Available 3D Generation Models on Scenario

Scenario supports a range of 3D generation models, each with unique strengths depending on your goals—whether you're aiming for high realism, fast iteration and lower costs, or stylized geometry. Below is a quick comparison table to review the key differences.

Model

Best For

Key Strengths

Speed & Requirements

Reference Images

Hunyuan3D 2.0

Balanced fidelity

Vivid textures, detailed geometry, strong customization

Slowest among Hunyuan versions

1 (optional multi-view)

Hunyuan3D 2.1

Ultra-detailed, PBR-ready assets

Smooth meshes, high-fidelity textures, faster than 2.0

Moderate speed, excellent quality

1 (optional multi-view)

Hunyuan3D Fast

Quick concept previews

Very fast inference, decent structure for early-stage ideas

Fastest Hunyuan variant

1

Hunyuan Multi-View 2.0

Detailed modeling from multiple angles

Accurate multi-view geometry, strong texture coherence

Slower due to 4-view processing

Up to 4

Hunyuan MV Fast

Faster multi-view results

Efficient multi-angle modeling, reasonable fidelity

Quicker than full multi-view

Up to 4

Trellis

Stylized or geometry-driven assets

Excels with multiple references, strong detail, great for toon/low-poly

Fast with clean inputs

1–10

Direct3D-S2

Environmental assets & large props

Sparse attention for voxel efficiency, scalable resolution (up to 1024³)

Efficient but slower at high quality

1

Tripo 2.5

Single-image photorealistic generation

High-res textures, clean meshes, optional PBR, supports HD output

Fast; ideal for object-centric use

1

Tripo 2.5 Multi-View

Higher fidelity via multiple views

Better geometry accuracy, reduced artifacts, retains PBR pipeline

Slower than single-image version

2–4

Rodin (Standard/Highpack)

Scan-quality realism and rig-ready meshes

Advanced geometry, PBR support, multi-view precision, optimized outputs

Moderate to slow, depending on settings

Up to 5


Which 3D Model Should You Use?

Choosing the right 3D generation model on Scenario depends on your creative and technical priorities—whether you're optimizing for realism, speed/cost, stylization, or reconstruction fidelity. Below is a breakdown of each model’s core features, and what could make them stand out in a production pipeline.

You can also test them side by side—upload the same image, generate with each model, and instantly compare outputs across models in real time. This lets you visually evaluate texture quality, mesh accuracy, and generation speed before deciding which model fits your needs.


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.

3D Models generated with Hunyuan 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.


Tripo 2.5 (Standard, Multi-View)

Developed by Tripo AI, Tripo 2.5 is a state-of-the-art single-image 3D object generation model that combines high-quality mesh reconstruction with PBR-compatible textures. It’s especially optimized for photorealistic assets and excels in object-centric generation.

  • Works from just one image.

  • Texture Options include PBR material, and Standard vs HD (Max Resolution: 2048x2048).

  • Limit polygons option.

  • Good geometry overall.

An extension of Tripo 2.5, Tripo Multi-View takes in up to 4 reference images (front, side, back, top) to reconstruct more accurate geometry and textures. It combines Tripo's PBR texturing pipeline with improved spatial consistency across multiple views.

  • Accepts 2–4 input images to reduce ambiguity and produce more precise shapes.

  • Maintains Tripo’s PBR output.

  • Especially useful when a single image doesn't capture enough geometry or surface detail.

  • Optimized outputs with less hallucinations and better geometry in comparison with Tripo 2.5 Standard.

3D Models generated with Tripo 2.5


Rodin Family (Standard and Highpack)

Rodin is a high-fidelity 3D generation framework designed by Deemos, for multi-view image-to-3D synthesis. It shines in realistic surface detail, often rivaling scans in quality when provided with enough views.

  • Accepts up to 5 images.

  • Supports up to five input images.

  • Concat mode - if you are uploading images of a single object, concat mode will inform the Rodin model to expect these images to be multi-view images of a single object.

  • Fuse mode - if you are uploading images of multiple objects, fuse mode will combine all the features of all the objects from the images for generation.

  • Maximum texture resolution: 2048x2048.

  • Generates an optimized geometry for rigging and animation.

  • Materials can be PBR or shaded.

  • Mesh densities range from high to extra-low, as shown in the comparison below (high mesh density to the left, lowest mesh density to the right)

  • Observe the gradual increase in mesh resolution from extra-low to high density in this other example:


PartCrafter (Generate in parts)

PartCrafter is the first open-source, image-to-3D generative model that transforms a single RGB image into several 3D meshes, semantically meaningful, all in one step. It can produces explicit meshes suitable for further editing, animation, or 3D printing—no segmentation or manual intervention required.

Unlike existing “single-block” AI mesh generators, PartCrafter separates your input object into defined components it can recognize (such as arms, wheels, panels, etc). These parts are cleanly segmented, each with its own geometry.

  • Works from just one image.

  • Generates 2 to 16 3D meshes.

  • Remove Background option.


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.


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.

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