| High-Resolution Image Synthesis with Latent Diffusion Models | Dec 20, 2021 | DenoisingGPU | CodeCode Available | 4 |
| Normalizing Flows are Capable Generative Models | Dec 9, 2024 | Conditional Image GenerationDensity Estimation | CodeCode Available | 3 |
| Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step | Oct 19, 2024 | Conditional Image GenerationGPU | CodeCode Available | 2 |
| Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective | Oct 16, 2024 | Conditional Image GenerationImage Generation | CodeCode Available | 2 |
| Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models | Apr 6, 2024 | Image GenerationUnconditional Image Generation | CodeCode Available | 2 |
| WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis | Feb 29, 2024 | DiversityGPU | CodeCode Available | 2 |
| Return of Unconditional Generation: A Self-supervised Representation Generation Method | Dec 6, 2023 | Conditional Image GenerationImage Generation | CodeCode Available | 2 |
| RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation | Nov 17, 2022 | 3D Generation3D Reconstruction | CodeCode Available | 2 |
| MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis | Nov 16, 2022 | Image GenerationRepresentation Learning | CodeCode Available | 2 |
| The ArtBench Dataset: Benchmarking Generative Models with Artworks | Jun 22, 2022 | BenchmarkingConditional Image Generation | CodeCode Available | 2 |
| Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets | Dec 2, 2024 | Computational EfficiencyImage Generation | CodeCode Available | 1 |
| Edge-preserving noise for diffusion models | Oct 2, 2024 | DenoisingImage Generation | CodeCode Available | 1 |
| Diversity-aware Channel Pruning for StyleGAN Compression | Mar 20, 2024 | DiversityImage Generation | CodeCode Available | 1 |
| Erasing Undesirable Influence in Diffusion Models | Jan 11, 2024 | DenoisingImage Generation | CodeCode Available | 1 |
| Diffusion Models for Constrained Domains | Apr 11, 2023 | DenoisingImage Generation | CodeCode Available | 1 |
| Binary Latent Diffusion | Apr 10, 2023 | Image GenerationQuantization | CodeCode Available | 1 |
| Denoising Diffusion Autoencoders are Unified Self-supervised Learners | Mar 17, 2023 | Contrastive LearningDenoising | CodeCode Available | 1 |
| Efficient Diffusion Training via Min-SNR Weighting Strategy | Mar 16, 2023 | DenoisingImage Generation | CodeCode Available | 1 |
| Fast Inference in Denoising Diffusion Models via MMD Finetuning | Jan 19, 2023 | DenoisingImage Generation | CodeCode Available | 1 |
| Generator Knows What Discriminator Should Learn in Unconditional GANs | Jul 27, 2022 | Conditional Image GenerationImage Generation | CodeCode Available | 1 |
| Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values | Mar 3, 2022 | DiversityImage Generation | CodeCode Available | 1 |
| EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs | Nov 30, 2021 | GPUImage Generation | CodeCode Available | 1 |
| Instance-Conditioned GAN | Sep 10, 2021 | Conditional Image GenerationImage Generation | CodeCode Available | 1 |
| ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models | Aug 6, 2021 | DenoisingImage Generation | CodeCode Available | 1 |
| Manifold Matching via Deep Metric Learning for Generative Modeling | Jun 20, 2021 | Image GenerationMetric Learning | CodeCode Available | 1 |
