A model for ‘art-grade’ 3D assets

TENCENT has released a model that could be a literal variable of how developers create 3D assets.

The new Hunyuan3d-Polygen model is the first attempt to present what they call a three-dimensional generation of “artistic”, which was specially built for professionals who make the digital worlds we play.

The creation of 3D origins has always been the bottleneck for gaming developers, as artists spend countless hours to master wire tires and wrestling with complex engineering. Tencent believes that they have found a way to treat this headache to face, which transforms how studios are treated completely.

Raise the level of generation of 3D assets

The secret sauce behind Hunyuan3d-Polygen lies in what the BPT technology calls. In terms of Layman, this means that they have discovered how to compress huge amounts of 3D data without losing important details. In practice, this means that it is possible to create three -dimensional assets with tens of thousands of polygons that already seem professional enough to charge in a commercial game.

What is particularly smart is how the system deals with both triglycerides. If you ever try to transfer 3D assets between different programs packages, you will know the reason for this. Various engines and tools have their preferences, and the problems of consensus were historically a nightmare for studios that try to simplify their work.

According to technical documents, the system uses a framework for automatic network generation, which leads spatial inference by modeling summit and explicit and separate correction. This approach guarantees the production of high -quality 3D models that meet strict artistic specifications required by the development of the commercial game.

HUNYUAN3D-Polygen works through what is basically a three-step dance. First, it requires 3D networks that exist and turn it into a language that artificial intelligence can understand.

Using the cloud point data as a starting point, the system then creates new network instructions using borrowed technologies from natural language processing. It is like teaching artificial intelligence speaking in 3D engineering, and predicting what should come after that based on what has already been created.

Finally, the system translates these instructions again into actual 3D networks, with all the peaks and faces that make up the final model. The entire process maintains engineering integrity while producing results that will make any technical artist in approval.

Not only does Trent talk about theoretical improvements that collapse when tested in real studios; They have put this technology to work in their game development studios. Results? Artists claim that they report efficiency gains more than 70 percent.

The system has been baked in the engine of the Tencent Hunyuan 3D AI and already operates via pipelines to develop multiple games. This means that it is used to create the actual 3D game assets that players will eventually interact.

Teaching artificial intelligence to think as an artist

One of the most impressive aspects of HUNYUAN3D-Polygen is how Tincent approaches quality control. They have developed a reinforcement learning system, which mainly teaches artificial intelligence to identify good work from bad work, is very similar to how the teacher can direct a novice artist.

The system learns from reactions, which gradually improves its ability to generate 3D assets that meet professional standards. This means fewer Duds and the most useful results directly outside the box. For studios that have already spanned resources, this type of reliability can be transformative.

The game industry is struggling with a basic problem for years. Although artificial intelligence has taken great steps in creating 3D models, most production was, completely frankly, not good enough for commercial use. The gap between “looks great in the illustration” and “ready for the AAA game” was enormous.

The Testent approach with Hunyuan3d-Polygen looks different because it was clearly designed by people who understand what the actual development of the game appears. Instead of chasing delightful demonstrations, they focused on solving the real workflow problems that were frustrating for decades.

With the continued development costs in a spiral and the timelines become more pressure, the tools that can accelerate the creation of assets without prejudice to quality become incredible value.

HUNYUAN3D-Polygen’s launch to the future as the relationship between human creativity and artificial intelligence assisted becomes more accurate. Instead of replacing artists, this technique appears to be designed to deal with the intense work of creating 3D origins, and the liberation of talented creators to focus on the conceptual and creative challenges that humans are superior to.

This represents a mature approach to the integration of artificial intelligence in creative industries. Instead of recounting the usual “artificial intelligence”, we see tools that increase human capabilities instead of trying to repeat them completely. Improvement of efficiency by 70 percent that TENCENT teams report indicates that this philosophy works in practice.

The broader effects are great to look. Since these systems become more sophisticated and reliable, we may see a fundamental shift in how to organize games development studios and how projects are determined. This technology can add high -quality assets, which may allow smaller studios to compete with larger operations with traditional resource advantages.

Hunyuan3d-Polygen’s success can encourage the other key players to accelerate their creative tools that are with their AI’s help along with 3D generation, leading to a new wave of productivity improvements throughout the industry. For gaming developers who were watching developments of artificial intelligence with a mixture of excitement and suspicion, this may be the moment when technology finally provides its promises.

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