Photo Realistic Animatable Human Avatar

Creating photorealistic, animatable human avatars from limited input data is a significant challenge in computer graphics and computer vision. Current research focuses on leveraging techniques like Gaussian splatting and neural radiance fields, often incorporating skeletal animation and physics-based simulations for realistic movement and clothing dynamics, to achieve high-fidelity 3D models from sparse video or image data. These advancements are improving the realism and efficiency of avatar generation, with applications in virtual and augmented reality, telepresence, and digital entertainment. The development of robust and efficient methods for generating these avatars is driving progress in both the underlying algorithms and the hardware required for real-time rendering.