Evaluation of Conditioning Modes for AI Image Generation

Overview

Compares depth, edge and semantic-segmentation conditioning for ControlNet, CTRLorALTer and Cosmos Transfer. Uses CMMD alongside detection mAP from a Cityscapes-trained detector to examine distribution similarity and downstream object-detection performance on generated images.