Hyper3D

WorldGen is Hyper3D’s world-generation model that turns one photograph into an editable 3 boyutlu sahne composed of independent, movable, and replaceable objects. Users upload a scene image and the system automatically identifies main objects, or they can draw bounding boxes around specific items.

The generated assets carry collision geometry, mass, and friction properties, making them immediately useful for robotics simulation training and game development. WorldGen combines Rodin-generated mesh assets with 3D Gaussian splatting for backgrounds, preserving both editability for foreground objects and visual fidelity for environments. This model advances research that received a Best Paper Award at SIGGRAPH 2025.

Agentic Mode connects input understanding, modelling strategy, and ongoing refinement in one continuous workflow. The system interprets images, multiple views, and text to identify the intended subject, then combines Rodin’s generation with multimodal reasoning to select the best modelling path.

Users can refine results through natural language requests for material enhancements, preset animations, and parametric adjustments on Low-poly N-GONS models. Together with MCP integration and BANG recursive segmentation, this capability moves Hyper3D from a tool that simply generates assets to one that functions as an agent-ready 3D production partner for both human creators and AI sistemler.

BANG automatically identifies and separates different components of a generated 3D model without destructive cutting. It works recursively, meaning you can segment a model into parts and then segment those parts further into subcomponents. This is essential for game developers who need modular asset pipelines, product designers building configurable models, and anyone working with kit-based assembly workflows. Manual BANG is also available for users who want precise control over where splits occur.

Smart Low-Poly converts detailed high-poly generated assets into clean, optimised low-polygon models with proper quad topology. For game developers working within polycount budgets, this eliminates hours of manual retopology work. The output meshes feature smooth surfaces and production-friendly edge flow, so assets move directly into rigging and animation pipelines. Baked normals from the high-poly source preserve visual detail on the low-poly version, a workflow that typically requires multiple software passes when done manually.

Hyper3D’s 3D ControlNet lets users guide the generation process using three spatial input methods. Bounding Box sets proportions and rough form, Voxel provides volume guidance for more complex shapes, and Point Cloud offers the most detailed structural control. Each method can be combined with text or image prompts, giving artists and designers a way to steer AI output toward a specific vision rather than relying entirely on the model’s interpretation.

Hyper3D's core image-to-3D pipeline converts a single photograph, concept sketch, or product shot into a fully textured 3D model with clean geometry and PBR malzemeleri. Rodin analyses depth, silhouette, structure, and surface detail to reconstruct accurate shape, proportion, and surface finish.

A single reference image is enough, but users can add optional multi-view inputs to provide extra visual guidance on complex objects. Generation speed ranges from roughly 4 seconds on Extreme-Low effort to around 80 seconds on Extreme-High, producing meshes up to 10 million polygons.

The output includes UV-mapped albedo, roughness, and metalness maps ready for game engines, AR applications, and 3D printing pipelines without additional texturing work.

Hyper3D's yerleşik AI video oluşturucu transforms static images into short motion clips directly inside the browser. Users upload a product shot, concept frame, or 3D render, then guide the motion with a short prompt describing camera movement, subject action, mood, and pacing.

The tool produces clips for social content, product teasers, storyboards, and previsualisation without any traditional video editing setup. This feature is particularly useful for product teams who want to test launch visuals before investing in a full production shoot and for filmmakers building moving references from key frames.

Hyper3D’s Model Context Protocol (MCP) integration connects AI coding agents like Claude Code, Codex, and Kimi Code CLI directly to Rodin’s generation engine. Developers can describe a 3D model in natural language within their terminal, and the MCP handles submission, progress tracking, and download link retrieval. This means AI ajanları building games, simulations, or product configurators can call Hyper3D programmatically to generate assets on demand as part of larger automated workflows.