Learning to Animate: Few-Shot Neural Editors for 3D SMEs

The field of 3D animation has traditionally posed challenges for Small and Medium Enterprises (SMEs) due to resource constraints and the complexity of animation techniques. Addressing these challenges, we propose Few-Shot Neural Editors (FSNE), a breakthrough approach that empowers users to create high-quality animations with minimal examples. By leveraging few-shot learning integrated into neural editing frameworks, FSNE allows users to capture diverse motion patterns effectively. This method caters to the specific customization needs of SME custodians, facilitating personalized animations from a limited number of references. The neural editor component dynamically adjusts parameters based on these examples, resulting in smooth and coherent animations. Our comprehensive evaluations and user studies reveal significant advancements compared to traditional animation methods, highlighting improvements in both creativity and productivity for animators. FSNE democratizes access to animation technologies, while its user-friendly interface enhances usability, making animation creation accessible to individuals with varying levels of expertise.