This product is a 3D GAN technology that learns through neural volume rendering methods, allowing for unprecedented detail resolution in fine-grained 3D geometry. It utilizes a learned sampler to accelerate 3D GAN training, enabling direct rendering of each pixel at full resolution in both training and inference processes. This, coupled with learning high-quality surface geometry, allows for the synthesis of high-resolution 3D geometry and images with strictly viewpoint-consistent views. Demonstrating state-of-the-art 3D geometric quality on FFHQ and AFHQ, this product sets a new standard for unsupervised learning in 3D GAN.