IllBench
IllBench is a benchmark designed to evaluate the performance of image generation models, specifically focusing on their ability to create diverse and realistic images across a wide range of concepts. Developed by researchers, it aims to address limitations in existing benchmarks that may overemphasize common or easily generated subjects. The benchmark comprises a curated dataset of diverse prompts, encompassing various styles, objects, scenes, and abstract ideas. These prompts are carefully selected to challenge models in areas such as understanding complex compositional instructions, generating fine-grained details, and producing visually coherent outputs.
The evaluation process for IllBench typically involves generating images from the benchmark's prompt set using the
By pushing the boundaries of existing evaluation methodologies, IllBench contributes to the ongoing development of more