Existing 3D scene interpolation methods fail when the scene undergoes large global motion. To address this, we propose a novel approach that robustly handles such motions by learning smooth global correspondences in a canonical space
We identity an issue with the current IMLE-based methods and propose a novel approach to address it. We achieve state-of-the-art performance on few-shot image generation tasks.
