Hunyuan3D-Omni - A 3D asset generation framework launched by Tencent Hunyuan

What is Hunyuan3D-Omni

Hunyuan3D-Omni is a 3D asset generation framework proposed by the Tencent Hunyuan3D team, achieving precise3D model generationthrough multiple control signals. Based on the Hunyuan3D 2.1 architecture, it introduces a unified control encoder that can handle multiple control signals such as point clouds, skeletal poses, and bounding boxes, avoiding signal confusion. The framework adopts a progressive, difficulty-aware sampling strategy for training, prioritizing the sampling of more difficult signals to improve the model's robustness to missing inputs. Hunyuan3D-Omni supports multiple control methods such as bounding boxes, skeletal poses, point clouds, and voxels, and can generate character models with specific poses, models that conform to bounding box constraints, and more, effectively solving problems such as distortion and missing details in traditional 3D generation.

Main features of Hunyuan3D-Omni

• Multimodal control signal input: Supports input of multiple control signals such as point clouds, skeletal poses, bounding boxes, and voxels, and converts these signals into guidance conditions for model generation through a unified control encoder, achieving precise 3D model generation.
• High-precision 3D model generation: Capable of generating high-precision 3D models, effectively solving problems such as distortion, flattening, missing details, and disproportionate proportions in traditional 3D generation, improving the quality of generated models.
• Geometry-aware transformation: Possesses geometry-aware capabilities and can perform transformations on 3D models that conform to geometric logic, making the models more reasonable and natural in shape and structure.
• Enhanced robustness of production workflows: Through training with a progressive, difficulty-aware sampling strategy, the model's robustness when facing different input conditions is enhanced, and it can stably generate high-quality 3D models even when some control signals are missing.
• Standardized and stylized output: Helps standardize character poses while providing stylization options for the generated 3D models, meeting diverse style requirements in different scenarios and needs.

Technical principles of Hunyuan3D-Omni

• Unified control encoder: Builds a unified control encoder that uniformly represents multiple control signals such as point clouds, skeletal poses, bounding boxes, and voxels in the form of point clouds, and extracts features through a lightweight encoder, avoiding confusion of control targets and achieving effective fusion of multimodal signals.
• Progressive training strategy: Adopts a progressive, difficulty-aware sampling strategy for training, selecting one control modality for each sample, prioritizing the sampling of more difficult signals, reducing the weight of easier signals, promoting robust multimodal fusion, and improving the model's robustness to missing inputs.
• Geometry-aware generation: The model possesses geometry-aware capabilities during the generation process and can understand the geometric characteristics of input signals, thereby generating 3D models that conform to geometric logic, avoiding the generation of distorted, flattened, or disproportionate models, and improving generation accuracy.
• Generation mechanism based on diffusion models: Utilizes the principles of diffusion models to generate 3D models by gradually removing noise. During the generation process, control signals serve as conditions to guide the model in generating 3D assets that meet the requirements, achieving controllable 3D generation.
• Model architecture extension: Inherits and extends the architecture of Hunyuan3D 2.1. While retaining the original advantages, it adds the ability to handle multiple control signals, improving the model's overall performance and generation quality.

Project address of Hunyuan3D-Omni

• GitHub repository：https://github.com/Tencent-Hunyuan/Hunyuan3D-Omni
• HuggingFace model library：https://huggingface.co/tencent/Hunyuan3D-Omni
• arXiv technical paper：https://arxiv.org/pdf/2509.21245

Application scenarios of Hunyuan3D-Omni

• Game development: Rapidly generate high-quality 3D characters, props, and scenes, improving development efficiency and reducing production costs.
• Film and television production: Used to create realistic 3D special effects and animations, accelerating the production process and improving the quality of visual effects.
• Architectural design: Generate 3D assets for architectural models and interior design, assisting design and visualization.
• Virtual reality (VR) and augmented reality (AR): Create immersive 3D environments and interactive objects, enhancing the user experience.
• Industrial design: Generate 3D models of product prototypes and components for design validation and presentation.
• Education and training: Create 3D teaching resources, such as virtual laboratories and historical scene reconstructions, to enhance learning outcomes.