A new milestone in 3D generation technology
Recently, Tencent's Hunyuan team has once again made a major breakthrough in the field of 3D generation by launching the new Hunyuan3D-PolyGen model. This is regarded as the industry's first 3D generated large model to reach the art level standard, which not only realizes a number of innovations at the technical level, but more importantly, shows great commercial value in practical application. It is understood that the model has been put into use in Tencent's internal game development team, significantly improving the efficiency of the artists.
Compared with traditional 3D generated models, Hunyuan3D-PolyGen's most distinctive feature is its ability to generate 3D models that meet professional art standards. This means that the generated models are not only visually pleasing, but more importantly, the technical specifications can be directly applied to professional scenarios such as game development and film production.
Technological innovation that breaks through traditional constraints
Application-oriented design concepts
Hunyuan3D-PolyGen was designed with one clear goal in mind: the generated 3D models must be directly usable in real projects. To this end, the team focused on solving three key problems:
| Technical indicators | Problems with traditional methods | PolyGen Solutions |
|---|---|---|
| Number of surfaces control | Too many faces, affecting real-time rendering | Intelligent control of the number of surfaces to meet the needs of the game |
| Quality of cabling | Wiring is confusing and difficult to edit in post | Generate regular and efficient topologies |
| model structure | Integral modeling, inconvenient for local modifications | Supports componentized architectural design |
Core Technology Breakthroughs
The most noteworthy technological innovation of the model is reflected in two aspects. The first is the significant improvement in the ability to model complex geometries; the model is able to handle complex objects with more than 20,000 faces, which is difficult to achieve in previous autoregressive 3D generation methods. The second is the improvement in generation stability, which significantly reduces the probability of generation failure by introducing a specialized training strategy.
Technical Architecture Analysis
Autoregressive grid generation framework
Hunyuan3D-PolyGen employs a complete autoregressive generation process, and the whole process can be divided into three key stages:
- Grid Tokenization Phase: Converts vertex and face sheet information from a 3D mesh into a sequence of Token's that the model can understand.
- Intelligent generation phase: Step-by-step generation of complete lattice Token sequences based on input point cloud data using autoregressive modeling
- Structural reconstruction phase: re-decode the generated Token sequence into a standard 3D mesh structure
Innovations in BPT compression technology
To solve the problem of high Token redundancy in traditional methods, the team developed a compression technique called BPT (Blocked and Patchified Tokenization). This technique achieves significant compression through two strategies:
Block Index Optimization: By dividing the 3D space into a regular block structure and converting the original (x,y,z) coordinate representation into the form of (block ID, offset), the number of Token is directly reduced by about 33%.
Sliced Combination Compression: By identifying shared vertices of neighboring facets, multiple facets are combined into a patch structure for representation, which further compresses the Token of about 41%.
Combining these two techniques, BPT succeeded in reducing the number of Token required to represent the same mesh by 74%, allowing the model to handle more complex geometries.
Enhanced Learning Optimization Strategies
To address the problem of low fault tolerance and poor stability in 3D mesh generation, the team introduced a specially designed reinforcement learning post-training framework. This framework uses multiple art quality metrics as reward signals, including:
- Cabling regularity assessment
- Geometric Consistency Check
- Faceplate Integrity Verification
- Topological Rationality
In this way, the model learns to generate not only 3D structures, but more importantly, high quality structures that meet professional standards.
Effect Comparison
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Verification of actual application effect
Authentic feedback from a team of professionals
According to the feedback from Tencent's internal game development team, Hunyuan3D-PolyGen performs well in real projects. Artists reported that their modeling efficiency increased by more than 70% after using the model. this efficiency improvement is mainly reflected in two aspects: firstly, the speed of initial model generation is greatly improved, and secondly, the workload of post-production editing and adjustment is significantly reduced.
Versatile input support
The model shows excellent adaptability and is able to handle many types of inputs:
- Single Picture: Generate a complete 3D model directly from a picture
- Multi-Perspective Images: Supports up to four reference images from different angles
- Line input: generate detailed 3D structures even from simple line drawings
- textual description: generate corresponding 3D models directly from natural language descriptions
Quality Comparison Advantage
In comparison with existing retopology and AI topology methods, Hunyuan3D-PolyGen shows clear advantages. Particularly in terms of facet control, the model is able to retain more model details while using fewer facets, which is especially important for game development that requires a balance between performance and quality.
Technical significance and future outlook
From the perspective of technological development, the success of this model provides new ideas for the whole industry. In particular, its innovation in compression algorithms and reinforcement learning applications lays the foundation for subsequent research work. At the same time, the success of this model in practical application also provides a strong proof for the deep application of AI technology in the creative industry.
Currently, users can experience this technology through Tencent's Hunyuan3D platform, which offers a free usage quota of 20 times per day. With the continuous improvement of the technology and the expansion of application scenarios, we have reason to believe that AI tools like Hunyuan3D-PolyGen will play an increasingly important role in the future creation of digital content and bring revolutionary changes to the entire creative industry.
Experience Address:3d.hunyuan.tencent.com
