Self Avatar

Self-avatar research focuses on creating realistic and controllable 3D digital representations of humans, often for use in virtual and augmented reality applications. Current efforts concentrate on improving avatar generation from various input modalities (e.g., text descriptions, images, videos), employing techniques like diffusion models, neural radiance fields, and Gaussian splatting to achieve high fidelity and efficient rendering. These advancements are driving progress in areas such as personalized avatar creation, realistic animation, and emotion expression, with significant implications for fields like gaming, virtual collaboration, and digital entertainment.