The PXPO algorithm can be extended to handle more complex feedback modalities by adapting the feedback processing mechanism to accommodate the additional information provided by segmentation maps or bounding boxes. Instead of assigning rewards at the pixel level, the algorithm can be modified to interpret feedback at the region or object level defined by the segmentation maps or bounding boxes. This would involve mapping the feedback from these higher-level structures to the corresponding regions in the image and adjusting the optimization process accordingly.
To handle segmentation maps, the PXPO algorithm could incorporate a mechanism to align the pixel-wise feedback with the segmented regions. By aggregating the feedback within each segment or object defined by the segmentation map, the algorithm can derive a more holistic reward signal for optimizing the model. Similarly, for bounding boxes, the algorithm can focus on the regions specified by the bounding boxes and adjust the optimization process based on the feedback received for those specific areas.
In essence, extending PXPO to handle more complex feedback modalities involves developing a mapping mechanism that translates the higher-level feedback information from segmentation maps or bounding boxes into a format that can be effectively utilized by the algorithm for guiding the generative modeling process.