Abstract Tessellation is critical for real‐time rendering of Catmull‐Clark subdivision (CCS) surfaces, with control mesh singularities posing a major challenge. Prior works typically pre‐subdivide singular regions to a fixed depth offline to facilitate efficient runtime tessellation, yet this practice fails to meet view‐dependent error requirements for high‐fidelity rendering—especially at pixel‐level accuracy. Hence, we present EBOAT, a novel direct‐evaluation tessellation method that integrates memory‐efficient feature‐adaptive subdivision via a connectivity‐elided representation for singularities, along with a two‐phase error control strategy and improved subdivision depth estimation built upon it. With a uniform tessellation level of 64, EBOAT achieves a 3.8×–4.7× speedup over OpenSubdiv, without relying on fixed‐depth pre‐subdivision. Compared to state‐of‐the‐art breadth‐first subdivision, it yields a 4.2×–7.1× speedup while providing more accurate sampling. To further demonstrate its effectiveness, we implement a pixel‐accurate CCS surface rendering pipeline with EBOAT fully integrated, and provide an in‐depth evaluation of rendering quality. Given its advantages in both performance and accuracy, EBOAT offers a promising alternative for real‐time CCS surface rendering in industrial applications.

We present ETER, an elastic tessellation framework for rendering large-scale NURBS models with pixel-accurate and crack-free quality at real-time frame rates. We propose a highly parallel adaptive tessellation algorithm to achieve pixel accuracy, measured by the screen space error between the exact surface and its triangulation. To resolve a bottleneck in NURBS rendering, we present a novel evaluation method based on uniform sampling grids and accelerated by GPU Tensor Cores. Compared to evaluation based on hardware tessellation, our method has achieved a significant speedup of 2.9 to 16.2 times depending on the degrees of the patches. We develop an efficient crack-filling algorithm based on conservative rasterization and visibility buffer to fill the tessellation-induced cracks while greatly reducing the jagged effect introduced by conservative rasterization. We integrate all our novel algorithms, implemented in CUDA, into a GPU NURBS rendering pipeline based on Mesh Shaders and hybrid software/hardware rasterization. Our performance data on a commodity GPU show that the rendering pipeline based on ETER is capable of rendering up to 3.7 million patches (0.25 billion tessellated triangles) in real-time (30FPS). With its advantages in performance, scalability, and visual quality in rendering large-scale NURBS models, a real-time tessellation solution based on ETER can be a powerful alternative or even a potential replacement for the existing pre-tessellation solution in CAD systems.