Zhou Zihan, Chief Scientist of Coohom: model as a service, to be the pioneer of AIGC in AI design and 3D visualizations

3D Visualizations，AI Design，Coohom The scientist proposes that AIGC Lab will realize a future paradigm of "Model as a Service", providing unlimited creative opportunities for AIGC's users and enterprises to achieve free and flexible creative design through AI.In the future, he will lead the lab's research in generative AI. Zhou has been dedicated to studying computer vision and machine learning, and is a "National Overseas High-Level Talent". Before joining Manycore, he was an assistant professor at Pennsylvania State University. AIGC is about contents and scenarios in essence, both of which are generated by data, algorithms and arithmetic power. Given the computing power of nearly 10,000 self-researched servers worldwide, Manycore has seen its data grow exponentially. It now owns over 270 million product models and has more than 3.3 billion rendering images. 90% of the floor plans for houses and apartments built in the past five years are in its collection. Based on the massive 3D models, 3D design content database, and research on the underlying artificial intelligence technology, Manycore has been expanding the AIGC applications in 3D design. For Manycore, AI plus design has been one of its core research fields. In AI intelligent design, many of its research papers have been selected for SIGGRAPH Asia, CVPR, ECCV and other international academic summits. The company has applied for 332 patents in total, covering deep learning datasets, image generation 3D models, and automatic generation of indoor scenes through language input, among others. It’s safe to say that Manycore has already taken the lead in space AIGC technology and its application. Focus on Human-machine Collaboration, to be Pioneer of space AIGC Whether the cutting-edge technology can bring "welfare" for users and enterprises need to be tested by the market. As a decade-old technology-driven company in home design, Coohom has withstood the test of the market time and again. The company launched AI intelligent design products, helping to generate a home design plan in as fast as 5 minutes. The product focuses on solving the problem of repetitive operations by quickly collecting and understanding design requirements, and converting design rules into machine language; through "sample room design", some repetitive work in the home design is automated. However, creativity is an iterative process of divergent thinking. That means AI undertakes more basic or manual work while human dominates the part that requires much intelligence and creativity.Therefore, Manycore has been focusing on the "human-computer co-creation" mode as the breakthrough of AI intelligent design, and deeply combining AI algorithms with "user editing" design method. From the user's perspective, Coohom has taken into account the workflow of design users and keeps exploring the potential needs of users creating designs. Now AI algorithm has become essential, ranging from the automatic import of floor plan during resign, to the smart design of furniture model, design plan and construction drawings, and to the one-click generation of short video in marketing, the virtual live room for online streaming, as well as the AI generation of PPT proposal in 2Dscene. In the future of stronger AIGC infrastructure and larger industrial applications. The Future Paradigm of space AIGC: Model as a Service With the deeper application of AI algorithms, Manycore has gained insights into demand for AI from an increasing number of industries. So the core challenge is how to make AIGC more flexible to serve industries and designers in various fields and solve the problems unique to each application scenario. “The solution is no longer to develop AI algorithms or train machine learning models for each need,but to practice Model as a Service, under the principle of which, the model is open to everybody as a service so that more people can access the AI capabilities to meet their personalized scenarios easily based on the framework we provide." Zhou Zihan said.According to Zhou Zihan, the MaaS-based space AIGC industry can be roughly divided into three parts. The first layer is the foundation, which means providing a common AIGC algorithm model for 3D space, that is, building the infrastructure of space AIGC. "The key to achieving this goal is to fully integrate the algorithm model with the exponential growth of GPU computing power and 3D design data of Manycore."

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