This AI Paper from NVIDIA and UC San Diego Unveils a New Breakthrough in 3D GANs: Scaling Neural Volume Rendering for Finer Geometry and View-Consistent Images

3D-aware Generative Adversarial Networks (GANs) have made remarkable advancements in generating multi-view-consistent images and 3D geometries from collections of 2D images through neural volume rendering. However, despite these advancements, a significant challenge has emerged due to the substantial memory and computational costs associated with dense sampling in volume rendering. This limitation has compelled 3D GANs […]

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