Introduction to 3D Generation

The AI-Powered 3D Production Pipeline

Modern 3D AI tools have evolved beyond simple "Image-to-3D" conversion. They now offer a modular ecosystem where you can generate, refine, and prepare assets for professional production in games, VFX, and industrial design.

Core Functions & Capabilities

To transform a concept into a production-ready asset, these models perform several specialized tasks:

• Generation (Image-to-3D & Text-to-3D): This is the entry point. Models like Tripo 2.5 or Hunyuan 3D 3.0 use diffusion techniques to create high-fidelity 3D meshes from single images or text prompts, reconstructing depth and "hidden" sides of an object.

• AI Rigging: Provided by tools like Meshy Rigging, this process automatically generates an internal skeleton (bones) and weight maps for a 3D model. This allows the character or object to be animated immediately without hours of manual joint placement.

• Remesh (Optimization): AI-generated meshes are often "messy" with uneven polygons. Meshy Remesh reconstructs the geometry to ensure clean topology (quads or optimized triangles), making the model lightweight and performant for real-time engines like Unity or Unreal Engine.

• Retexture: The Meshy Retexture tool allows you to keep an existing 3D shape but completely overhaul its visual style. By using AI-driven texture synthesis, you can apply new materials, colors, and surface details (PBR maps) to a model while maintaining its original geometry.

• Partition (Hunyuan 3D Part): This advanced feature segments a complex 3D model into logical, separate parts. For example, it can identify and separate the wheels from a car or the limbs from a creature, which is crucial for mechanical animation and modular asset design.

The first demonstration showcases the core Image-to-3D process. It visualizes the transition from a single 2D character illustration into a high-fidelity 3D model.

The second demonstration strips away the surface textures to reveal the Geometry (Mesh) of the model. This view is crucial for understanding how the asset will perform in a production environment.

Available 3D Models

Scenario provides access to a range of specialized 3D generation models, each optimized for different use cases and quality requirements. As of June 2025, the following models are available:

Hunyuan 3D Models (3.0 and 2.1)

Developed by Tencent, the Hunyuan 3D ecosystem represents the state-of-the-art in generative 3D assets. The latest models utilize a sophisticated 3D-DiT hierarchical carving technology, capable of handling up to 3.6 billion voxels to produce high-fidelity geometry with extreme precision.

• Hunyuan 3D 3.0 (Pro): The newest flagship generation, featuring Pro (Standard), MultiView, and Sketch modes. These models triple the modeling accuracy of previous versions and support resolutions up to 1536³.

  • Pro - MultiView: Accepts up to four images (front, side, and back) of the same subject, significantly improving reconstruction accuracy and structural symmetry by providing the model with a complete 360-degree understanding.

  • Pro - Sketch: Specifically designed to transform line drawings and concept sketches into fully textured 3D volumes.

• Hunyuan 3D Part: A specialized model within the 3.0 suite designed for mesh segmentation. It automatically analyzes geometry to identify and separate distinct components (such as mechanical parts or limbs), outputting neatly organized sub-meshes ready for independent animation or editing.

• Hunyuan 3D 2.1: A high-precision, fully open-source model that introduced Physically-Based Rendering (PBR) texture synthesis. It offers a tenfold improvement in geometric precision over version 2.0 and is highly recommended for creating polished assets with realistic light interactions (metallic, roughness, and albedo maps).

Rodin Hyper3D (Gen-1, Gen-2)

Rodin is Scenario’s 3D model generation suite designed for fast, flexible, and high-quality asset creation. It supports both Image-to-3D and Text-to-3D workflows, allowing users to generate 3D models from images or prompts. Rodin offers different generation modes - Sketch, Regular, Detail, and Smooth - each tailored for specific levels of detail, poly count, and texture resolution. It’s especially well-suited for game-ready assets, character modeling, or rapid prototyping.

Meshy Suite

The Meshy suite provides a powerful set of tools for creating production-ready assets with a focus on high-quality textures and optimized geometry.

• Meshy Image-to-3D: Transforms any 2D image into a detailed 3D mesh while preserving the visual style of the source. It supports PBR (Physically Based Rendering) materials, including base color, metallic, roughness, and normal maps.

• Meshy Text-to-3D: Generates complex 3D objects from natural language prompts. It is ideal for rapid concepting of characters and props.

• Meshy Retexture: Allows you to refresh the surface of an existing 3D model. You can apply entirely new styles using a text prompt or reference image without altering the underlying geometry.

• Meshy Remesh: A specialized optimization tool that refines generated meshes. It can convert geometry into clean Quad topology for animation or Triangle meshes for game engines, while allowing you to set a specific Target Polycount for performance.

• Meshy Rigging: Automatically generates an internal skeletal structure (bones) and skin weights for 3D characters. This prepares models for immediate animation by defining how the mesh deforms during movement, eliminating the need for hours of manual joint placement and weight painting.

Tripo 2.5 (Standard, Multiview)

Tripo 2.5 is a next-generation 3D generation engin, known for producing high-fidelity models with photorealistic detail. Built on TripoSR (a state-of-the-art AI architecture), it will reconstructing realistic geometry and textures from one or more image. Tripo is ideal for users seeking high-resolution outputs for visualization, product mockups, and VFX pipelines. It supports both artistic and real-world object inputs.

PartCrafter

PartCrafter is the first open-source, image-to-3D generative model that transforms a single RGB image into 2–16 separate 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.

PartCrafter empowers 3D creators to generate modular, editable 3D assets directly from images, streamlining workflows for game development, animation, and design.

Trellis

Built on Microsoft's Structured LATent (SLAT) architecture, Trellis combines both structural and texture information in its latent representation. This approach enables more accurate shape reconstruction and better texture coherence across the 3D surface.

Trellis is especially effective when generating models from multiple images and is well suited for creating assets with less realistic, more stylized visual styles.

Direct3D-S2

Developed by NJU-3DV, Direct3D-S2 is a scalable 3D generation framework based on sparse volumes that utilizes Spatial Sparse Attention (SSA) for efficient high-resolution generation. This model can generate detailed 3D models at 1024³ resolution using significantly fewer computational resources than traditional volumetric approaches.

Sparc3D

Sparc3D is a next-generation 3D generative framework designed for speed and high geometric precision. It creates high-resolution, watertight meshes from single or multiple images by utilizing a novel sparse representation system.

• Sparc3D (General): Builds high-fidelity 3D models of objects, props, and environments. It excels at reconstructing complex shapes, open surfaces, and intricate components that traditional models often struggle with. While it works from a single photo, uploading multiple views (front, back, left, right) significantly improves the completeness of the hidden geometry.

• Sparc3D (Portrait): A specialized version of the model optimized specifically for human faces and expressions. It captures subtle facial details more accurately than the general model, making it ideal for creating lifelike 3D portraits and character heads.

Voxel Crafter 1.0

Voxel Crafter 1.0 is Scenario’s specialized 3D model that transforms text descriptions or 2D reference images into stylized voxel art. Unlike models focused on photorealism, Voxel Crafter is optimized for the blocky, grid-based aesthetic popular in games like Minecraft, The Sandbox, and MagicaVoxel.

Step-by-Step Generation Process

Step 1: Access Generate 3D page

You can launch 3D Generation in different ways:

• From existing images: Open any image in your Scenario gallery, click the three-dot menu, and select "Convert to 3D"

• From main menu: Navigate to "3D" in the main “Create” menu to open the interface, and start uploading new images

Step 2: Select Your Generative Model

The interface loads with a default AI model. Click the model name in the top-left corner to browse available options based on your goal:

• Flagship Quality: Choose Hunyuan 3.0 (Pro) for the highest modeling accuracy or Tripo 2.5 for photorealistic detail.

• Multi-View Accuracy: Select Hunyuan 3.0 (MultiView) or Tripo 2.5 (Multiview) if you have multiple angles of your object to ensure geometric symmetry.

• Stylized Art: Use Voxel Crafter 1.0 for grid-based assets or Trellis for stylized, Microsoft-architecture-based outputs.

• Human Faces: Choose Sparc3D (Portrait) for high-precision head and expression reconstruction.

Step 3: Configure Input Images

For single-view models, your selected image appears in the input area. For multi-view models like Hunyuan Multi-View, you'll see options to add additional images on the left side of the interface.

When using multi-view:

• Ensure all images show the same object with the same proportion

• Include different angles (front, left side, right side, and back)

• Maintain consistent lighting across images

• Keep the images in the correct orientation

Step 4: Adjust Generation Settings

Configure the parameters based on your requirements:

• Step Count: Start with 30 for balanced results, test and adjust as needed

• Face Count: Choose based on your intended use (20k-60k for most applications)

• Guidance: Begin with 5 for optimal balance before testing incrementaly

Step 5: Generate Your 3D Model

Click "Generate" to begin. Processing time depends on model complexity (e.g., Hunyuan 3.0 handles massive voxel counts), step settings, and server load (especially for initializing the model if it’s “cold”)

Step 6: Review and Inspect

Once complete, use the built-in 3D viewer to:

• Orbit, zoom, and pan around the model.

• Toggle wireframe to check the geometry structure.

Step 7: Refine and Optimize

Don't settle for the first result. Use specialized tools to improve your model's quality:

• Optimize Topology: Use Meshy Remesh to convert messy geometry into clean Quad topology for professional animation or optimized Triangle meshes for game performance.

• Enhance Surface: Use Meshy Retexture to refresh the visual style or materials without changing the base shape.

• Segment Parts: If your model has complex components (like a robot with limbs), use Hunyuan 3D Part or PartCrafter to separate the mesh into modular, editable pieces.

Step 8: AI Rigging (For Characters)

If you are creating a character or a creature that needs to move:

• Select Meshy Rigging to automatically generate a skeletal structure (bones).

• The AI will assign skin weights, allowing the mesh to deform naturally when animated in external software.

Step 9: Download and Export

When satisfied, download your model in the format that fits your pipeline:

• GLB: Recommended for web, mobile AR, and quick viewing (includes geometry and textures in one file).

• OBJ: Traditional format with separate texture maps, widely supported across all 3D software.

Best Practices for Optimal Results

Remove Backgrounds

Background elements can confuse the 3D reconstruction process, leading to unwanted geometry or texture artifacts. Clean, isolated subjects produce significantly better results than images with complex backgrounds. Even when your image appears to have a simple background, removing it entirely helps the model focus on the primary object.

Implementation: Use Scenario's built-in background removal tool directly from the 3D generation interface, or prepare your images beforehand using Scenario's Remove Background feature.

Upscale Input Images

Increasing your input image resolution to 2x or 4x the original size often dramatically improves texture quality in the final 3D model.Higher resolution inputs provide more texture detail for the model to work with during the texture synthesis stage. This is particularly important because 3D models need to maintain visual quality when viewed from multiple angles and distances.

Optimize Image Characteristics

Certain image qualities consistently produce better 3D reconstruction results:

• Clean, stylized artwork: Images that already resemble 3D or cel-shaded artwork convert more successfully than rough sketches or ultra-detailed realistic photos

• Clear object boundaries: Well-defined edges help the model distinguish between the object and background

• Consistent lighting: Avoid images with extreme shadows or multiple light sources that might confuse depth perception

• Single, prominent subject: Images focusing on one main object work better than complex scenes with multiple elements

Understanding Output Limitations

Topology Considerations

AI-generated 3D models typically require retopology for production use in animation or game development. The generated topology prioritizes visual accuracy over optimal edge flow for deformation.

Current AI generation tools creates visually accurate models but don't (yet) produce the clean, quad-based topology that professional animators require. Plan for retopology workflows if your models need rigging or animation.

Texture Mapping

Generated models include UV mapping, but the layout may not follow traditional texturing conventions. For projects requiring custom texture work, you may need to re-UV map the model.

File Size Management

Higher face counts create more detailed models but significantly increase file sizes. Consider your target platform's constraints:

• Mobile/VR: Keep face counts under 5K for optimal performance

• Desktop games: 10K-20K faces work well for most assets

• Rendering/visualization: Higher face counts acceptable for non-real-time use

Integration with Scenario Workflows

Custom Model Integration

Image-to-3D works seamlessly with Scenario's custom-trained models. Generate images using your trained style or character models, then convert them to 3D to maintain visual consistency across your asset pipeline.

Workflow example: Train a style model for your game's art direction → Generate character or prop images → Convert to 3D models → Export for use in your 3D software

Character & Object Turnarounds

For high-quality 3D reconstruction, providing consistent views from multiple angles is crucial. Scenario offers specialized workflow apps designed to generate consistent "turnarounds" from a single reference:

• Turnaround Studio: A dedicated workflow to generate a full rotation of your character or object, ensuring all sides match the original design.

• Make Precise 4-Pose Turnarounds: Specifically optimized to create clean front, back, and side views (T-pose or A-pose), which are perfect for Multi-view models like Hunyuan 3.0 or Tripo 2.5.

Generate Multi-View using Edit with Prompts

If you have a single image and need more reference angles, you can use the Edit with Prompts tool to manually expand your asset library.

• Advanced Models: Use Gemini 3.0 or Seedream 4.5 within the editor to describe and generate missing angles (e.g., "rear view of the same character") while maintaining style consistency.

• Flux Kontext (Character Turnaround): Utilize the specialized Character Turnaround model in the editing interface to automatically project your character into 3 different poses and views, ensuring the 3D modeler has enough visual data to build a watertight mesh.

Specialized Starting Models

Scenario provides several image generation models optimized for 3D conversion:

• Cartoon Characters 2.0: Generates high quality characters in 3D style.

• 3D Blocky Elements: Creates images with clear geometric forms ideal for 3D reconstruction

• Toy Box: Generates toy-like objects with simple, clean shapes

• Neo3D Realism: Produces realistic objects with good depth cues for 3D conversion

• Stylized 3D: Generates detailed 3D-style renders with a distinct stylized aesthetic.

• and many more, including foundation models like Flux, GPT Image, and more

Asset Organization

Generated 3D models integrate with Scenario's content management system. Use Collections to organize your 3D assets alongside their source images, and apply Tags for easy retrieval in larger projects.

Quality Expectations

Image-to-3D is great for creating visually convincing 3D models for concept work, prototyping, and assets viewed from limited angles. For hero assets requiring close inspection or animation, consider the generated model as a starting point for further refinement.

Future Developments

Image-to-3D capabilities continue evolving rapidly. Upcoming improvements include enhanced mesh quality, better texture resolution support, and expanded model options. Check Scenario's product updates and Knowledge Base for the latest features and best practices.