EscherNet++: Simultaneous Amodal Completion and Scalable View Synthesis through Masked Fine-Tuning and Enhanced Feed-Forward 3D Reconstruction

EscherNet++ is a unified diffusion model that simultaneously performs amodal completion and novel view synthesis. It uses hierarchical masking—input-level and feature-level—to handle occluded input views robustly. This allows the model to generate complete objects from various query poses while seamlessly integrating with fast 3D reconstruction models.

Open the full episode

More from AI Radio