frechet inception distance

A Pragmatic Note on Evaluating Generative Models with Fréchet Inception Distance for Retinal Image Synthesis MIDL 2026 Frequency-Aware Flow Matching for High-Quality Image Generation CVPR 2026 GrOCE : Graph-Guided Online Concept Erasure for Text-to-Image Diffusion Models CVPR 2026 Understanding, Accelerating, and Improving MeanFlow Training CVPR 2026 CharDiff: Improving Sampling Convergence via Characteristic Function Consistency in Diffusion Models WACV 2025 Geometry Fidelity for Spherical Images ECCV 2024 Rethinking FID: Towards a Better Evaluation Metric for Image Generation CVPR 2024 Conjugate Gradient Method for Generative Adversarial Networks AISTATS 2023 Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks ACML 2023 Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise ACML 2023 PLay: Parametrically Conditioned Layout Generation using Latent Diffusion ICML 2023 Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows NeurIPS 2023 Spider GAN: Leveraging Friendly Neighbors To Accelerate GAN Training CVPR 2023 On Aliased Resizing and Surprising Subtleties in GAN Evaluation CVPR 2022 Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values CVPR 2022 Projected GANs Converge Faster NeurIPS 2021 Topology Distance: A Topology-Based Approach for Evaluating Generative Adversarial Networks AAAI 2021 Effectively Unbiased FID and Inception Score and Where to Find Them CVPR 2020 Reliable Fidelity and Diversity Metrics for Generative Models ICML 2020 3D Volumetric Modeling with Introspective Neural Networks AAAI 2019 Classification Accuracy Score for Conditional Generative Models NeurIPS 2019 Assessing Generative Models via Precision and Recall NeurIPS 2018 Is Generator Conditioning Causally Related to GAN Performance? ICML 2018 Learning Implicit Generative Models with the Method of Learned Moments ICML 2018