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Found 4 papers, 1 papers with code
Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics
Recent advances in text-to-image synthesis enabled through a combination of language and vision foundation models have led to a proliferation of the tools available and an increased attention to the field.
ClusterNet: A Perception-Based Clustering Model for Scattered Data
Finally, we compare our approach against existing state-of-the-art clustering techniques and can show, that ClusterNet is able to generalize to unseen and out of scope data.
Monocular Depth Decomposition of Semi-Transparent Volume Renderings
Additionally, we investigate how these networks can be extended to further obtain color and opacity information, in order to create a layered representation of the scene based on a single color image.
Training Object Detectors on Synthetic Images Containing Reflecting Materials
While synthesized data sets can be used to overcome this challenge, it is important that these data sets close the reality gap, i. e., a model trained on synthetic image data is able to generalize to real images.
