Open-Source 3D Generative Models in Production: Comparing TRELLIS, Hunyuan3D 2.0, TripoSR, and InstantMesh
Production 3D generative AI has shifted away from slow optimization-based paradigms toward high-throughput feed-forward architectures and scalable flow-matching diffusion models. Early text-to-3D pipelines relied on Score Distillation Sampling (SDS) through 2D diffusion priors, requiring hundreds of optimization steps and minutes of GPU compute per asset. Modern systems synthesize textured 3D representations in seconds from a single reference image or text prompt. Engineering teams integrating
