| ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models | Aug 6, 2021 | DenoisingImage Generation | CodeCode Available | 1 |
| Adaptive Weighted Discriminator for Training Generative Adversarial Networks | Dec 5, 2020 | Conditional Image GenerationGenerative Adversarial Network | CodeCode Available | 1 |
| Instance-Conditioned GAN | Sep 10, 2021 | Conditional Image GenerationImage Generation | CodeCode Available | 1 |
| Large Scale Adversarial Representation Learning | Jul 4, 2019 | Contrastive LearningImage Generation | CodeCode Available | 1 |
| Diversity-aware Channel Pruning for StyleGAN Compression | Mar 20, 2024 | DiversityImage Generation | CodeCode Available | 1 |
| Dual Contrastive Loss and Attention for GANs | Mar 31, 2021 | Image GenerationUnconditional Image Generation | CodeCode Available | 1 |
| Learning Semantic-aware Normalization for Generative Adversarial Networks | Dec 1, 2020 | Image GenerationImage Inpainting | CodeCode Available | 1 |
| Semi-supervised FusedGAN for Conditional Image Generation | Jan 17, 2018 | AttributeConditional Image Generation | —Unverified | 0 |
| A Unified Framework for Diffusion Bridge Problems: Flow Matching and Schrödinger Matching into One | Mar 27, 2025 | Image GenerationUnconditional Image Generation | —Unverified | 0 |
| Conceptual and Hierarchical Latent Space Decomposition for Face Editing | Jan 1, 2023 | DecoderImage Generation | —Unverified | 0 |
| Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis | Mar 19, 2025 | Few-Shot LearningImage Generation | —Unverified | 0 |
| Consistency Regularization for Generative Adversarial Networks | Oct 26, 2019 | Conditional Image GenerationImage Generation | —Unverified | 0 |
| Data Instance Prior for Transfer Learning in GANs | Sep 28, 2020 | Data AugmentationDiversity | —Unverified | 0 |
| Data InStance Prior (DISP) in Generative Adversarial Networks | Dec 8, 2020 | Data AugmentationDiversity | —Unverified | 0 |
| Deep MMD Gradient Flow without adversarial training | May 10, 2024 | DenoisingImage Generation | —Unverified | 0 |
| DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics | Nov 16, 2023 | Image GenerationImage Super-Resolution | —Unverified | 0 |
| Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers | Apr 15, 2024 | Image GenerationUnconditional Image Generation | —Unverified | 0 |
| DiffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition | Apr 25, 2025 | Face GenerationFace Recognition | —Unverified | 0 |
| Diffusion Probabilistic Model Made Slim | Nov 27, 2022 | Image Generationmodel | —Unverified | 0 |
| Directional GAN: A Novel Conditioning Strategy for Generative Networks | May 12, 2021 | Image GenerationMarketing | —Unverified | 0 |
| Enhancing Low Dose Computed Tomography Images Using Consistency Training Techniques | Nov 19, 2024 | Image GenerationImage Inpainting | —Unverified | 0 |
| Entropy Rectifying Guidance for Diffusion and Flow Models | Apr 18, 2025 | DiversityImage Generation | —Unverified | 0 |
| Generative Modelling with High-Order Langevin Dynamics | Apr 19, 2024 | Image GenerationUnconditional Image Generation | —Unverified | 0 |
| Gradpaint: Gradient-Guided Inpainting with Diffusion Models | Sep 18, 2023 | DenoisingImage Generation | —Unverified | 0 |
| HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models | Apr 1, 2019 | Image GenerationUnconditional Image Generation | —Unverified | 0 |