Towards Animatable Human Avatars

Towards Animatable Human Avatars

Explore cutting-edge research on animatable human avatars in this conference talk. Delve into two groundbreaking papers: SNARF, which introduces differentiable forward skinning for animating non-rigid neural implicit shapes, and MetaAvatar, which focuses on learning animatable clothed human models from limited depth images. Gain insights into neural implicit shapes, backward LBS, meta-learning approaches, and fine-tuning techniques. Examine high-level methodologies, training processes, and comparative results. Witness examples and demonstrations that showcase the potential of these innovative techniques in creating more realistic and adaptable human avatars for various applications.