Avatar Synthesis

Avatar synthesis focuses on generating realistic and controllable digital human representations from various input modalities, aiming for high fidelity and efficient processing. Current research emphasizes developing novel diffusion models and light field representations to improve both the photorealism and speed of avatar generation, often incorporating large-scale datasets with diverse attributes for training. This field is significant for advancing computer vision and graphics, with applications ranging from video editing and personalization to facilitating communication for sign language users.