AbstractWe study the problem of novel view synthesis objects from a single image. Existing methods have demonstrated potential in single-view synthesis. However, they still fail to recover fine appearance details, especially self-occluded areas. This is because only provides limited information. We observe that man-made usually exhibit symmetric appearances, which introduce additional prior kno...

Multi-view medical image analysis often depends on the combination of information from multiple views. However, differences in perspective or other forms misalignment can make it difficult to combine views effectively, as registration is not always possible. Without registration, only be combined at a global feature level, by joining vectors after pooling. We present novel cross-view transforme...