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, rig, 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:

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 wide range of specialized 3D generation and refinement models, each optimized for different use cases and quality requirements.


Tripo Models (P1, 3.1, 3.0, 2.5)

Developed by VAST AI, the Tripo family covers the full 3D production pipeline — generation, retopology, rigging, and stylization.

Tripo P1 (Standard and MultiView): Tripo P1 is optimized for delivering clean, production-ready assets with well-optimized geometry. It is a strong choice when you need good mesh quality at a lower polygon count, making it well-suited for game-ready assets and real-time pipelines. The P1 Multi View variant accepts up to four reference images (front, left, right, back) for improved reconstruction accuracy.

Tripo 3.1 (Standard and MultiView): Tripo 3.1 is the most capable generation model in the Tripo family. It can produce both high-quality high-poly meshes and optimized geometry depending on your settings, making it versatile for everything from detailed hero assets to game-ready props. The 3.1 Multi View variant accepts multiple angle references for improved geometric symmetry.

Tripo 3.0 (Standard, MultiView, Texturing). The previous-generation Tripo model, still available in three variants:

Tripo Rigging 1.0 [Biped]: Specialized for bipedal (humanoid) characters. Produces cleaner joint placement and more accurate weight distribution around hips, knees, and shoulders compared to a general-purpose rigging model.

Tripo Rigging 2.5: Automatically generates a full skeletal structure and skin weights for specialized 3D creature meshes, including quadrupeds, hexapods, and octapods. Please note that this version is specifically designed for non-bipedal structures and is not compatible with bipedal characters.

Tripo Retopology: Reconstructs any mesh geometry with cleaner edge loops and better polygon distribution. Run this before importing into animation or sculpting software.

Tripo Stylization: Applies AI-driven style transfer to an existing 3D mesh, modifying surface appearance and texture to match a chosen aesthetic (cel-shaded, painterly, hyper-realistic, etc.) without altering the underlying geometry.


Hunyuan/Tencent Models

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 Specialized & Utility Models

Hunyuan 3.0 Pro & Legacy Generations

Tencent UV UnwrappingAutomates the process of flattening 3D meshes into clean, non-overlapping UV layouts. This is a critical step for ensuring that textures wrap correctly around a model without distortion. It is an essential utility for creators who need to export assets for further detailing in external tools like Substance Painter or Photoshop. The model is particularly effective on Hunyuan 3D-generated assets, handling complex geometries that would traditionally require hours of manual UV mapping.

Tencent Texture EditA refinement tool that allows you to modify the surface appearance of an existing 3D model using a text prompt or reference image. Because it operates specifically on the texture layer, it can completely transform the look of an object, changing its material or color, without altering the underlying mesh geometry. It is tightly integrated with the Hunyuan 3D ecosystem and supports full PBR output, including base color, metallic, roughness, and normal maps for realistic material rendering.


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 - SketchRegularDetail, 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.


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 (1 and 2)

The Trellis 2 model represents a major advancement in Microsoft’s 3D generative suite, utilizing a powerful 4B parameter model and a native 3D VAE. By employing a two-stage Diffusion Transformer (DiT) pipeline with 16x spatial compression, it produces high-resolution PBR assets at 1536³ resolution with full material maps.

While Trellis 2 is the latest flagship, the original Trellis model—built on Microsoft's Structured LATent (SLAT) architecture—remains a capable option for creating stylized assets and generating models from multiple images.


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 (1.0 and 2.0)

Developed by Math Magic and researchers from Nanyang Technological University and Imperial College London, Sparc3D 2.0 represents a massive leap in generative 3D fidelity. By utilizing the novel Sparcubes mesh processing and the Sparconv-VAE engine, this generation delivers near-lossless 3D reconstruction with a 3x speedup and 4x faster convergence over previous methods.

Note: While the 2.0 suite is recommended for professional high-fidelity assets, the original Sparc3D models remain available for rapid prototyping and standard-resolution tasks where lower computational overhead is required.


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 MinecraftThe Sandbox, and MagicaVoxel.


SAM3D Suite

The SAM3D family by Meta provides a modular pipeline to reconstruct objects and human subjects from 2D images into structured 3D environments.


Step-by-Step Generation Process

Step 1: Access Generate 3D page

You can launch 3D Generation in different ways:


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:


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:


Step 4: Adjust Generation Settings

Configure the parameters based on your requirements:


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:


Step 7: Refine and Optimize

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


Step 8: AI Rigging (For Characters)

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


Step 9: Download and Export

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


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.

Recommendation: Use Scenario's Enhance tool before converting to 3D, especially for images smaller than 1024x1024 pixels.


Optimize Image Characteristics

Certain image qualities consistently produce better 3D reconstruction results:


Understanding Output Limitations

Topology Considerations

AI-generated 3D models typically require retopology for production use in animation or game development, as initial outputs prioritize visual accuracy over optimal edge flow for deformation.

While many base generation tools don't (yet) produce clean, quad-based topology natively, specialized models like Tripo Retopology and Meshy Remesh are now available to automate the remeshing process. Plan to integrate these workflows if your assets need to be technically sound for professional rigging or high-end animation.


Texture Mapping

Generated models include UV mapping, but the layout may not follow traditional texturing conventions. For projects requiring custom texture work, you can now automate the creation of clean, non-overlapping layouts using the Tencent UV Unwrapping model.


File Size Management

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


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


3D Apps & Workflows

For a professional-grade 3D pipeline, Scenario offers a suite of specialized workflow apps designed to bridge the gap between initial concepts and engine-ready assets. These tools automate the most time-consuming aspects of 3D production, from consistent views to final rigging.

Asset Generation & Turnarounds

Optimization & Technical Finishing

Rigging & Prototyping


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.


Specialized Starting Models

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


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.