Post by Radu Comes

Compared to other top 3D generative AI models like Hitem3D or Hyper3D | Rodin, Tripo AI produces much better defined 🔩 crankshafts, 🛠️rods, pistons, and even the positioning of rods on the crankshaft and flywheel. The level of detail is encouraging, but we’re still a long way from matching accurate CAD models with interlocking ⚙️gears, 🔗 chains, and 🔧other precise mechanical elements. This highlights what I believe is the current 🛑 bottleneck🛑 in 3D generative AI, while these tools are fantastic for quickly generating visually appealing elements for games, animations, VR/AR/MR experiences, or even rapid 3D prints, they fall short for truly functional mechanical components. Accuracy is crucial, and right now, most generative models simply don’t provide it. I’m confident that the first AI model capable of producing outputs closer to true CAD-level precision will take the lead in the generative 3D space. Increasing polygon counts alone (e.g., from 2M to 5M faces or even 10M) won’t solve the problem without proper circularity, planarity, and geometric & dimensional accuracy, the results will still fall short. The race is on for 3D generative AI models that can truly bridge the gap between visual fidelity and engineering precision within their output models. Exciting times ahead! #Tripo3D #3DModeling #GenerativeAI #MechanicalEngineering #CAD #DigitalPrototype #Innovation #3DPrinting #VR #AR #GameDevelopment #EngineeringDesign #TechInnovation The case studies videos are available at: https://lnkd.in/depHzCDf https://lnkd.in/dWJgA-F8