fid score

SpeeDiff: Scalable Pixel-Anchored End-to-End Latent Diffusion Model CVPR 2026 CellFlux: Simulating Cellular Morphology Changes via Flow Matching ICML 2025 Differentiable Solver Search for Fast Diffusion Sampling ICML 2025 Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models WACV 2025 Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models ICLR 2025 Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling ICLR 2025 Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability CVPR 2025 RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning ICML 2025 Visual Generation Without Guidance ICML 2025 Accelerating Diffusion Sampling with Optimized Time Steps CVPR 2024 Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps ICLR 2024 Analyzing and Improving the Training Dynamics of Diffusion Models CVPR 2024 Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models ICML 2024 Directly Denoising Diffusion Models ICML 2024 DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents ICML 2024 Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination NeurIPS 2024 Improved Techniques for Training Consistency Models ICLR 2024 Interpreting and Improving Diffusion Models from an Optimization Perspective ICML 2024 Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation ECCV 2024 Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport ICML 2024 Tackling the Singularities at the Endpoints of Time Intervals in Diffusion Models CVPR 2024 Diffusion Models Beat GANs on Image Synthesis NeurIPS 2021 Improved Consistency Regularization for GANs AAAI 2021 Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models CVPR 2020