| Scalable, Tokenization-Free Diffusion Model Architectures with Efficient Initial Convolution and Fixed-Size Reusable Structures for On-Device Image Generation | Nov 9, 2024 | Conditional Image GenerationImage Generation | —Unverified | 0 |
| Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling | Jul 21, 2024 | Image GenerationUnconditional Image Generation | —Unverified | 0 |
| Deep MMD Gradient Flow without adversarial training | May 10, 2024 | DenoisingImage Generation | —Unverified | 0 |
| Generative Modelling with High-Order Langevin Dynamics | Apr 19, 2024 | Image GenerationUnconditional Image Generation | —Unverified | 0 |
| LD-Pruner: Efficient Pruning of Latent Diffusion Models using Task-Agnostic Insights | Apr 18, 2024 | Audio GenerationImage Generation | —Unverified | 0 |
| Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers | Apr 15, 2024 | Image GenerationUnconditional Image Generation | —Unverified | 0 |
| Iso-Diffusion: Improving Diffusion Probabilistic Models Using the Isotropy of the Additive Gaussian Noise | Mar 25, 2024 | DenoisingImage Generation | —Unverified | 0 |
| Improving Diffusion-Based Image Synthesis with Context Prediction | Jan 4, 2024 | DecoderDenoising | —Unverified | 0 |
| Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models | Nov 18, 2023 | Image GenerationUnconditional Image Generation | —Unverified | 0 |
| DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics | Nov 16, 2023 | Image GenerationImage Super-Resolution | —Unverified | 0 |
