Nerf-based Generative models have shown impressive capacity in generating high-quality
images with consistent 3D geometry. Despite successful synthesis of fake identity images …

In recent years, there has been significant progress in 2D generative face models fueled by
applications such as animation, synthetic data generation, and digital avatars. However, due …

Recent advances in NeRF-based 3D-aware GANs have achieved outstanding performance,
especially in the realm of human facial representations, making projection of facial images …

In recent years, the art of film photography has reemerged as a topic of interest for both
researchers and the community. Unlike digital photography, which relies on pixels to capture …

The issue of detecting face forgeries has garnered significant interest in the field of computer
vision, primarily driven by the growing social concerns of indistinguishable deepfake …

Large-scale models, abundant data, and dense computation are the pivotal pillars of deep
neural networks. The present-day deep learning models have made significant strides in …

The synthesis of data has long been a valuable resource for training machine learning
models, offering reliability and control while reducing the reliance on real-world data …