generative model evaluation

A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis MIDL 2026 A Unifying Information-theoretic Perspective on Evaluating Generative Models AAAI 2025 K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences CVPR 2025 TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs EMNLP 2025 Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability CVPR 2024 Beyond Aesthetics: Cultural Competence in Text-to-Image Models NeurIPS 2024 Metric Space Magnitude for Evaluating the Diversity of Latent Representations NeurIPS 2024 An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions NeurIPS 2023 Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions ICML 2023 Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models NeurIPS 2023 On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity JMLR 2023 Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models ICCV 2023 Automatic Text Evaluation through the Lens of Wasserstein Barycenters EMNLP 2021 Manifold Topology Divergence: a Framework for Comparing Data Manifolds. NeurIPS 2021 Describing Like Humans: On Diversity in Image Captioning CVPR 2019 Fréchet Audio Distance: A Reference-Free Metric for Evaluating Music Enhancement Algorithms Interspeech 2019 Improved Precision and Recall Metric for Assessing Generative Models NeurIPS 2019